commit ca47c4ecee4f9aa82b3c25ca2c5f919e8117db4c
parent 69820f75c79a34dbe1ee1ce0d31d4dfd468d8f6d
Author: miksa <milutin@popovic.xyz>
Date: Tue, 10 May 2022 10:24:29 +0200
update
Diffstat:
3 files changed, 192 insertions(+), 4066 deletions(-)
diff --git a/freezing_fritz/TurnUpTheHeat_Evaluation.ipynb b/freezing_fritz/TurnUpTheHeat_Evaluation.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 75,
+ "execution_count": 616,
"metadata": {},
"outputs": [],
"source": [
@@ -42,7 +42,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 617,
"metadata": {},
"outputs": [
{
@@ -189,7 +189,7 @@
"4 -3.007195 -20.0 "
]
},
- "execution_count": 2,
+ "execution_count": 617,
"metadata": {},
"output_type": "execute_result"
}
@@ -202,7 +202,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 618,
"metadata": {},
"outputs": [
{
@@ -466,7 +466,7 @@
"[1095 rows x 13 columns]"
]
},
- "execution_count": 3,
+ "execution_count": 618,
"metadata": {},
"output_type": "execute_result"
}
@@ -491,7 +491,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 619,
"metadata": {},
"outputs": [
{
@@ -695,7 +695,7 @@
"max 1.000000 1.000000 21.992202 33.882457 "
]
},
- "execution_count": 4,
+ "execution_count": 619,
"metadata": {},
"output_type": "execute_result"
}
@@ -713,7 +713,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 620,
"metadata": {
"scrolled": false
},
@@ -809,7 +809,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 621,
"metadata": {},
"outputs": [],
"source": [
@@ -857,18 +857,23 @@
},
{
"cell_type": "code",
- "execution_count": 95,
+ "execution_count": 622,
"metadata": {},
"outputs": [
{
- "data": {
- "text/plain": [
- "3.25879966076991"
- ]
- },
- "execution_count": 95,
- "metadata": {},
- "output_type": "execute_result"
+ "ename": "KeyboardInterrupt",
+ "evalue": "",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
+ "Input \u001b[0;32mIn [622]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m validation_set \u001b[38;5;241m=\u001b[39m data_train_Temperature\u001b[38;5;241m.\u001b[39mcopy()\u001b[38;5;241m.\u001b[39mdrop(\u001b[38;5;28mrange\u001b[39m(\u001b[38;5;28mint\u001b[39m(\u001b[38;5;241m0.2\u001b[39m\u001b[38;5;241m*\u001b[39mobservations), observations), axis \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m)\n\u001b[0;32m----> 2\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[43mpredict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalidation_set\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3\u001b[0m \u001b[38;5;66;03m# root mean square error:\u001b[39;00m\n\u001b[1;32m 4\u001b[0m np\u001b[38;5;241m.\u001b[39mlinalg\u001b[38;5;241m.\u001b[39mnorm(res\u001b[38;5;241m.\u001b[39mvalues[:,\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m-\u001b[39m validation_set\u001b[38;5;241m.\u001b[39mvalues[:,\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m])\u001b[38;5;241m/\u001b[39mnp\u001b[38;5;241m.\u001b[39msqrt(\u001b[38;5;28mlen\u001b[39m(res\u001b[38;5;241m.\u001b[39mvalues[:,\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]))\n",
+ "Input \u001b[0;32mIn [621]\u001b[0m, in \u001b[0;36mpredict\u001b[0;34m(data)\u001b[0m\n\u001b[1;32m 24\u001b[0m totaldist \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[1;32m 27\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m j \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(simple_data_set\u001b[38;5;241m.\u001b[39mvalues\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m]):\n\u001b[0;32m---> 28\u001b[0m value \u001b[38;5;241m=\u001b[39m value \u001b[38;5;241m+\u001b[39m simple_data_set\u001b[38;5;241m.\u001b[39mvalues[j,\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]\u001b[38;5;241m/\u001b[39m(\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlinalg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnorm\u001b[49m\u001b[43m(\u001b[49m\u001b[43mweights\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msimple_data_set\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m[\u001b[49m\u001b[43mj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m:\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mweights\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msimple_test_set\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m[\u001b[49m\u001b[43mk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m:\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m)\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m4\u001b[39m\n\u001b[1;32m 29\u001b[0m totaldist \u001b[38;5;241m=\u001b[39m totaldist \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m\u001b[38;5;241m/\u001b[39m(np\u001b[38;5;241m.\u001b[39mlinalg\u001b[38;5;241m.\u001b[39mnorm(weights\u001b[38;5;241m*\u001b[39msimple_data_set\u001b[38;5;241m.\u001b[39mvalues[j,:\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m-\u001b[39m weights\u001b[38;5;241m*\u001b[39msimple_test_set\u001b[38;5;241m.\u001b[39mvalues[k,:\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]))\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m4\u001b[39m\n\u001b[1;32m 30\u001b[0m simple_test_set\u001b[38;5;241m.\u001b[39mvalues[k, \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mmax([value\u001b[38;5;241m/\u001b[39mtotaldist, simple_data_set\u001b[38;5;241m.\u001b[39mvalues[j,\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m2\u001b[39m]])\n",
+ "File \u001b[0;32m<__array_function__ internals>:5\u001b[0m, in \u001b[0;36mnorm\u001b[0;34m(*args, **kwargs)\u001b[0m\n",
+ "File \u001b[0;32m~/.local/lib/python3.10/site-packages/numpy/linalg/linalg.py:2530\u001b[0m, in \u001b[0;36mnorm\u001b[0;34m(x, ord, axis, keepdims)\u001b[0m\n\u001b[1;32m 2528\u001b[0m sqnorm \u001b[38;5;241m=\u001b[39m dot(x\u001b[38;5;241m.\u001b[39mreal, x\u001b[38;5;241m.\u001b[39mreal) \u001b[38;5;241m+\u001b[39m dot(x\u001b[38;5;241m.\u001b[39mimag, x\u001b[38;5;241m.\u001b[39mimag)\n\u001b[1;32m 2529\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 2530\u001b[0m sqnorm \u001b[38;5;241m=\u001b[39m \u001b[43mdot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2531\u001b[0m ret \u001b[38;5;241m=\u001b[39m sqrt(sqnorm)\n\u001b[1;32m 2532\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m keepdims:\n",
+ "File \u001b[0;32m<__array_function__ internals>:5\u001b[0m, in \u001b[0;36mdot\u001b[0;34m(*args, **kwargs)\u001b[0m\n",
+ "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+ ]
}
],
"source": [
@@ -890,7 +895,7 @@
},
{
"cell_type": "code",
- "execution_count": 435,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -910,7 +915,7 @@
},
{
"cell_type": "code",
- "execution_count": 412,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -928,7 +933,7 @@
},
{
"cell_type": "code",
- "execution_count": 159,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -946,20 +951,9 @@
},
{
"cell_type": "code",
- "execution_count": 269,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "1.8607722472011556"
- ]
- },
- "execution_count": 269,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"regr_svr = make_pipeline(StandardScaler(), SVR(C=1000, epsilon=0.45))\n",
"regr_svr.fit(X_train, y_train)\n",
@@ -976,20 +970,9 @@
},
{
"cell_type": "code",
- "execution_count": 376,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "1.349415924948517"
- ]
- },
- "execution_count": 376,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"regr_nn = MLPRegressor(random_state=2,\\\n",
" max_iter=1300,\\\n",
@@ -1008,2934 +991,22 @@
},
{
"cell_type": "code",
- "execution_count": 429,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 1/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 17.8158 - mse: 369.4533\n",
- "Epoch 2/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 11.7027 - mse: 176.4969\n",
- "Epoch 3/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 5.9129 - mse: 54.1465\n",
- "Epoch 4/1400\n",
- "28/28 [==============================] - 0s 2ms/step - loss: 4.9143 - mse: 37.7527\n",
- "Epoch 5/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 4.7618 - mse: 36.9970\n",
- "Epoch 6/1400\n",
- "28/28 [==============================] - 0s 890us/step - loss: 4.6514 - mse: 36.0012\n",
- "Epoch 7/1400\n",
- "28/28 [==============================] - 0s 881us/step - loss: 4.5553 - mse: 35.2403\n",
- "Epoch 8/1400\n",
- "28/28 [==============================] - 0s 972us/step - loss: 4.4648 - mse: 34.3632\n",
- "Epoch 9/1400\n",
- "28/28 [==============================] - 0s 967us/step - loss: 4.3835 - mse: 33.2953\n",
- "Epoch 10/1400\n",
- "28/28 [==============================] - 0s 870us/step - loss: 4.3107 - mse: 32.1638\n",
- "Epoch 11/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 4.2424 - mse: 31.7606\n",
- "Epoch 12/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 4.1756 - mse: 30.9379\n",
- "Epoch 13/1400\n",
- "28/28 [==============================] - 0s 910us/step - loss: 4.1237 - mse: 30.2445\n",
- "Epoch 14/1400\n",
- "28/28 [==============================] - 0s 914us/step - loss: 4.0500 - mse: 29.2560\n",
- "Epoch 15/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 3.9945 - mse: 28.4853\n",
- "Epoch 16/1400\n",
- "28/28 [==============================] - 0s 966us/step - loss: 3.9438 - mse: 28.0548\n",
- "Epoch 17/1400\n",
- "28/28 [==============================] - 0s 918us/step - loss: 3.8919 - mse: 27.3571\n",
- "Epoch 18/1400\n",
- "28/28 [==============================] - 0s 869us/step - loss: 3.8454 - mse: 26.6040\n",
- "Epoch 19/1400\n",
- "28/28 [==============================] - 0s 926us/step - loss: 3.7969 - mse: 25.9124\n",
- "Epoch 20/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 3.7366 - mse: 25.4108\n",
- "Epoch 21/1400\n",
- "28/28 [==============================] - 0s 875us/step - loss: 3.6896 - mse: 24.6913\n",
- "Epoch 22/1400\n",
- "28/28 [==============================] - 0s 919us/step - loss: 3.6457 - mse: 23.5979\n",
- "Epoch 23/1400\n",
- "28/28 [==============================] - 0s 996us/step - loss: 3.6036 - mse: 23.5255\n",
- "Epoch 24/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 3.5381 - mse: 22.9784\n",
- "Epoch 25/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 3.5057 - mse: 22.1727\n",
- "Epoch 26/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 3.4458 - mse: 21.4430\n",
- "Epoch 27/1400\n",
- "28/28 [==============================] - 0s 928us/step - loss: 3.4205 - mse: 21.1084\n",
- "Epoch 28/1400\n",
- "28/28 [==============================] - 0s 986us/step - loss: 3.3845 - mse: 20.5849\n",
- "Epoch 29/1400\n",
- "28/28 [==============================] - 0s 946us/step - loss: 3.3124 - mse: 19.9230\n",
- "Epoch 30/1400\n",
- "28/28 [==============================] - 0s 973us/step - loss: 3.2410 - mse: 18.8770\n",
- "Epoch 31/1400\n",
- "28/28 [==============================] - 0s 962us/step - loss: 3.2167 - mse: 18.8508\n",
- "Epoch 32/1400\n",
- "28/28 [==============================] - 0s 964us/step - loss: 3.1534 - mse: 18.0998\n",
- "Epoch 33/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 3.0931 - mse: 17.5441\n",
- "Epoch 34/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 3.0334 - mse: 16.8451\n",
- "Epoch 35/1400\n",
- "28/28 [==============================] - 0s 933us/step - loss: 2.9813 - mse: 16.2721\n",
- "Epoch 36/1400\n",
- "28/28 [==============================] - 0s 964us/step - loss: 2.9345 - mse: 15.8951\n",
- "Epoch 37/1400\n",
- "28/28 [==============================] - 0s 921us/step - loss: 2.8617 - mse: 15.1596\n",
- "Epoch 38/1400\n",
- "28/28 [==============================] - 0s 936us/step - loss: 2.8266 - mse: 14.9532\n",
- "Epoch 39/1400\n",
- "28/28 [==============================] - 0s 968us/step - loss: 2.7547 - mse: 14.2052\n",
- "Epoch 40/1400\n",
- "28/28 [==============================] - 0s 927us/step - loss: 2.6900 - mse: 13.6609\n",
- "Epoch 41/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 2.6358 - mse: 13.1297\n",
- "Epoch 42/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 2.6277 - mse: 12.8549\n",
- "Epoch 43/1400\n",
- "28/28 [==============================] - 0s 932us/step - loss: 2.5463 - mse: 12.1976\n",
- "Epoch 44/1400\n",
- "28/28 [==============================] - 0s 939us/step - loss: 2.4630 - mse: 11.6278\n",
- "Epoch 45/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 2.3967 - mse: 11.1474\n",
- "Epoch 46/1400\n",
- "28/28 [==============================] - 0s 936us/step - loss: 2.3512 - mse: 10.8354\n",
- "Epoch 47/1400\n",
- "28/28 [==============================] - 0s 910us/step - loss: 2.3337 - mse: 10.3542\n",
- "Epoch 48/1400\n",
- "28/28 [==============================] - 0s 919us/step - loss: 2.2572 - mse: 10.1095\n",
- "Epoch 49/1400\n",
- "28/28 [==============================] - 0s 971us/step - loss: 2.2233 - mse: 9.6351\n",
- "Epoch 50/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 2.1748 - mse: 9.5743\n",
- "Epoch 51/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 2.1161 - mse: 8.9705\n",
- "Epoch 52/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 2.0825 - mse: 8.8560\n",
- "Epoch 53/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 2.0438 - mse: 8.3753\n",
- "Epoch 54/1400\n",
- "28/28 [==============================] - 0s 973us/step - loss: 1.9974 - mse: 8.2231\n",
- "Epoch 55/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.9575 - mse: 7.9347\n",
- "Epoch 56/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.9732 - mse: 7.6946\n",
- "Epoch 57/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.9207 - mse: 7.5379\n",
- "Epoch 58/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.8794 - mse: 7.2506\n",
- "Epoch 59/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.8465 - mse: 7.0036\n",
- "Epoch 60/1400\n",
- "28/28 [==============================] - 0s 988us/step - loss: 1.8147 - mse: 6.8324\n",
- "Epoch 61/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.7871 - mse: 6.6946\n",
- "Epoch 62/1400\n",
- "28/28 [==============================] - 0s 965us/step - loss: 1.7991 - mse: 6.6326\n",
- "Epoch 63/1400\n",
- "28/28 [==============================] - 0s 946us/step - loss: 1.7462 - mse: 6.3273\n",
- "Epoch 64/1400\n",
- "28/28 [==============================] - 0s 975us/step - loss: 1.7303 - mse: 6.2343\n",
- "Epoch 65/1400\n",
- "28/28 [==============================] - 0s 918us/step - loss: 1.7173 - mse: 6.1184\n",
- "Epoch 66/1400\n",
- "28/28 [==============================] - 0s 930us/step - loss: 1.6740 - mse: 5.8755\n",
- "Epoch 67/1400\n",
- "28/28 [==============================] - 0s 887us/step - loss: 1.6717 - mse: 5.8373\n",
- "Epoch 68/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.6429 - mse: 5.5816\n",
- "Epoch 69/1400\n",
- "28/28 [==============================] - 0s 955us/step - loss: 1.6168 - mse: 5.4585\n",
- "Epoch 70/1400\n",
- "28/28 [==============================] - 0s 894us/step - loss: 1.6144 - mse: 5.3842\n",
- "Epoch 71/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 1.6034 - mse: 5.1700\n",
- "Epoch 72/1400\n",
- "28/28 [==============================] - 0s 926us/step - loss: 1.6052 - mse: 5.2646\n",
- "Epoch 73/1400\n",
- "28/28 [==============================] - 0s 937us/step - loss: 1.5611 - mse: 4.9886\n",
- "Epoch 74/1400\n",
- "28/28 [==============================] - 0s 898us/step - loss: 1.5411 - mse: 4.8394\n",
- "Epoch 75/1400\n",
- "28/28 [==============================] - 0s 927us/step - loss: 1.5158 - mse: 4.6827\n",
- "Epoch 76/1400\n",
- "28/28 [==============================] - 0s 958us/step - loss: 1.5203 - mse: 4.7040\n",
- "Epoch 77/1400\n",
- "28/28 [==============================] - 0s 975us/step - loss: 1.4923 - mse: 4.5807\n",
- "Epoch 78/1400\n",
- "28/28 [==============================] - 0s 888us/step - loss: 1.4785 - mse: 4.4374\n",
- "Epoch 79/1400\n",
- "28/28 [==============================] - 0s 986us/step - loss: 1.4715 - mse: 4.3557\n",
- "Epoch 80/1400\n",
- "28/28 [==============================] - 0s 922us/step - loss: 1.4386 - mse: 4.2619\n",
- "Epoch 81/1400\n",
- "28/28 [==============================] - 0s 893us/step - loss: 1.4181 - mse: 4.1362\n",
- "Epoch 82/1400\n",
- "28/28 [==============================] - 0s 995us/step - loss: 1.4333 - mse: 4.1757\n",
- "Epoch 83/1400\n",
- "28/28 [==============================] - 0s 901us/step - loss: 1.4216 - mse: 4.0400\n",
- "Epoch 84/1400\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "28/28 [==============================] - 0s 881us/step - loss: 1.3919 - mse: 4.0164\n",
- "Epoch 85/1400\n",
- "28/28 [==============================] - 0s 978us/step - loss: 1.3929 - mse: 3.9222\n",
- "Epoch 86/1400\n",
- "28/28 [==============================] - 0s 913us/step - loss: 1.3659 - mse: 3.6965\n",
- "Epoch 87/1400\n",
- "28/28 [==============================] - 0s 878us/step - loss: 1.3577 - mse: 3.7650\n",
- "Epoch 88/1400\n",
- "28/28 [==============================] - 0s 885us/step - loss: 1.3433 - mse: 3.6331\n",
- "Epoch 89/1400\n",
- "28/28 [==============================] - 0s 937us/step - loss: 1.3505 - mse: 3.6753\n",
- "Epoch 90/1400\n",
- "28/28 [==============================] - 0s 866us/step - loss: 1.3026 - mse: 3.4339\n",
- "Epoch 91/1400\n",
- "28/28 [==============================] - 0s 882us/step - loss: 1.2947 - mse: 3.3892\n",
- "Epoch 92/1400\n",
- "28/28 [==============================] - 0s 867us/step - loss: 1.3001 - mse: 3.4023\n",
- "Epoch 93/1400\n",
- "28/28 [==============================] - 0s 943us/step - loss: 1.2726 - mse: 3.2662\n",
- "Epoch 94/1400\n",
- "28/28 [==============================] - 0s 896us/step - loss: 1.2569 - mse: 3.2291\n",
- "Epoch 95/1400\n",
- "28/28 [==============================] - 0s 929us/step - loss: 1.2651 - mse: 3.2244\n",
- "Epoch 96/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.2280 - mse: 3.1128\n",
- "Epoch 97/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.2198 - mse: 3.0833\n",
- "Epoch 98/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.2104 - mse: 3.0272\n",
- "Epoch 99/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.2791 - mse: 3.2320\n",
- "Epoch 100/1400\n",
- "28/28 [==============================] - 0s 951us/step - loss: 1.2620 - mse: 3.1578\n",
- "Epoch 101/1400\n",
- "28/28 [==============================] - 0s 923us/step - loss: 1.2178 - mse: 2.9291\n",
- "Epoch 102/1400\n",
- "28/28 [==============================] - 0s 979us/step - loss: 1.1791 - mse: 2.8952\n",
- "Epoch 103/1400\n",
- "28/28 [==============================] - 0s 931us/step - loss: 1.1708 - mse: 2.8452\n",
- "Epoch 104/1400\n",
- "28/28 [==============================] - 0s 955us/step - loss: 1.1710 - mse: 2.8170\n",
- "Epoch 105/1400\n",
- "28/28 [==============================] - 0s 917us/step - loss: 1.1472 - mse: 2.7237\n",
- "Epoch 106/1400\n",
- "28/28 [==============================] - 0s 870us/step - loss: 1.1383 - mse: 2.6730\n",
- "Epoch 107/1400\n",
- "28/28 [==============================] - 0s 929us/step - loss: 1.1435 - mse: 2.6973\n",
- "Epoch 108/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.1320 - mse: 2.6173\n",
- "Epoch 109/1400\n",
- "28/28 [==============================] - 0s 882us/step - loss: 1.1346 - mse: 2.6626\n",
- "Epoch 110/1400\n",
- "28/28 [==============================] - 0s 842us/step - loss: 1.1162 - mse: 2.5956\n",
- "Epoch 111/1400\n",
- "28/28 [==============================] - 0s 973us/step - loss: 1.1214 - mse: 2.5723\n",
- "Epoch 112/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.0941 - mse: 2.4986\n",
- "Epoch 113/1400\n",
- "28/28 [==============================] - 0s 916us/step - loss: 1.0908 - mse: 2.4559\n",
- "Epoch 114/1400\n",
- "28/28 [==============================] - 0s 888us/step - loss: 1.1320 - mse: 2.5429\n",
- "Epoch 115/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.1369 - mse: 2.5273\n",
- "Epoch 116/1400\n",
- "28/28 [==============================] - 0s 932us/step - loss: 1.0891 - mse: 2.4636\n",
- "Epoch 117/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.1114 - mse: 2.4709\n",
- "Epoch 118/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.1003 - mse: 2.4188\n",
- "Epoch 119/1400\n",
- "28/28 [==============================] - 0s 929us/step - loss: 1.0987 - mse: 2.4053\n",
- "Epoch 120/1400\n",
- "28/28 [==============================] - 0s 887us/step - loss: 1.0633 - mse: 2.3185\n",
- "Epoch 121/1400\n",
- "28/28 [==============================] - 0s 941us/step - loss: 1.0580 - mse: 2.2753\n",
- "Epoch 122/1400\n",
- "28/28 [==============================] - 0s 954us/step - loss: 1.0639 - mse: 2.3034\n",
- "Epoch 123/1400\n",
- "28/28 [==============================] - 0s 877us/step - loss: 1.0794 - mse: 2.3470\n",
- "Epoch 124/1400\n",
- "28/28 [==============================] - 0s 937us/step - loss: 1.0414 - mse: 2.2056\n",
- "Epoch 125/1400\n",
- "28/28 [==============================] - 0s 896us/step - loss: 1.0356 - mse: 2.2039\n",
- "Epoch 126/1400\n",
- "28/28 [==============================] - 0s 926us/step - loss: 1.0104 - mse: 2.1787\n",
- "Epoch 127/1400\n",
- "28/28 [==============================] - 0s 921us/step - loss: 1.0351 - mse: 2.1673\n",
- "Epoch 128/1400\n",
- "28/28 [==============================] - 0s 872us/step - loss: 1.0128 - mse: 2.1348\n",
- "Epoch 129/1400\n",
- "28/28 [==============================] - 0s 974us/step - loss: 1.0039 - mse: 2.0778\n",
- "Epoch 130/1400\n",
- "28/28 [==============================] - 0s 950us/step - loss: 1.0003 - mse: 2.0652\n",
- "Epoch 131/1400\n",
- "28/28 [==============================] - 0s 890us/step - loss: 1.0015 - mse: 2.0422\n",
- "Epoch 132/1400\n",
- "28/28 [==============================] - 0s 870us/step - loss: 1.0029 - mse: 2.1041\n",
- "Epoch 133/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 1.0190 - mse: 2.0669\n",
- "Epoch 134/1400\n",
- "28/28 [==============================] - 0s 878us/step - loss: 1.0064 - mse: 2.0921\n",
- "Epoch 135/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.9830 - mse: 1.9827\n",
- "Epoch 136/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.9711 - mse: 1.9391\n",
- "Epoch 137/1400\n",
- "28/28 [==============================] - 0s 887us/step - loss: 0.9640 - mse: 1.9743\n",
- "Epoch 138/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.9800 - mse: 1.9865\n",
- "Epoch 139/1400\n",
- "28/28 [==============================] - 0s 954us/step - loss: 0.9649 - mse: 1.9277\n",
- "Epoch 140/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.9646 - mse: 1.9294\n",
- "Epoch 141/1400\n",
- "28/28 [==============================] - 0s 952us/step - loss: 0.9555 - mse: 1.9066\n",
- "Epoch 142/1400\n",
- "28/28 [==============================] - 0s 930us/step - loss: 0.9569 - mse: 1.9026\n",
- "Epoch 143/1400\n",
- "28/28 [==============================] - 0s 882us/step - loss: 0.9384 - mse: 1.8535\n",
- "Epoch 144/1400\n",
- "28/28 [==============================] - 0s 936us/step - loss: 0.9361 - mse: 1.8449\n",
- "Epoch 145/1400\n",
- "28/28 [==============================] - 0s 892us/step - loss: 0.9461 - mse: 1.8669\n",
- "Epoch 146/1400\n",
- "28/28 [==============================] - 0s 896us/step - loss: 0.9252 - mse: 1.8152\n",
- "Epoch 147/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.9230 - mse: 1.7916\n",
- "Epoch 148/1400\n",
- "28/28 [==============================] - 0s 947us/step - loss: 0.9205 - mse: 1.8186\n",
- "Epoch 149/1400\n",
- "28/28 [==============================] - 0s 887us/step - loss: 0.9097 - mse: 1.7767\n",
- "Epoch 150/1400\n",
- "28/28 [==============================] - 0s 909us/step - loss: 0.9274 - mse: 1.7771\n",
- "Epoch 151/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.9199 - mse: 1.7742\n",
- "Epoch 152/1400\n",
- "28/28 [==============================] - 0s 913us/step - loss: 0.8997 - mse: 1.7401\n",
- "Epoch 153/1400\n",
- "28/28 [==============================] - 0s 897us/step - loss: 0.8927 - mse: 1.7281\n",
- "Epoch 154/1400\n",
- "28/28 [==============================] - 0s 877us/step - loss: 0.8944 - mse: 1.7015\n",
- "Epoch 155/1400\n",
- "28/28 [==============================] - 0s 945us/step - loss: 0.9065 - mse: 1.7218\n",
- "Epoch 156/1400\n",
- "28/28 [==============================] - 0s 868us/step - loss: 0.8966 - mse: 1.6917\n",
- "Epoch 157/1400\n",
- "28/28 [==============================] - 0s 902us/step - loss: 0.8728 - mse: 1.6579\n",
- "Epoch 158/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.8824 - mse: 1.6681\n",
- "Epoch 159/1400\n",
- "28/28 [==============================] - 0s 911us/step - loss: 0.8993 - mse: 1.7005\n",
- "Epoch 160/1400\n",
- "28/28 [==============================] - 0s 921us/step - loss: 0.8654 - mse: 1.6558\n",
- "Epoch 161/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.8622 - mse: 1.6270\n",
- "Epoch 162/1400\n",
- "28/28 [==============================] - 0s 880us/step - loss: 0.8635 - mse: 1.6307\n",
- "Epoch 163/1400\n",
- "28/28 [==============================] - 0s 926us/step - loss: 0.8635 - mse: 1.6139\n",
- "Epoch 164/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.8765 - mse: 1.6475\n",
- "Epoch 165/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.9078 - mse: 1.6512\n",
- "Epoch 166/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.8788 - mse: 1.6465\n",
- "Epoch 167/1400\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "28/28 [==============================] - 0s 1ms/step - loss: 0.8525 - mse: 1.5887\n",
- "Epoch 168/1400\n",
- "28/28 [==============================] - 0s 978us/step - loss: 0.8658 - mse: 1.5881\n",
- "Epoch 169/1400\n",
- "28/28 [==============================] - 0s 885us/step - loss: 0.8428 - mse: 1.5630\n",
- "Epoch 170/1400\n",
- "28/28 [==============================] - 0s 882us/step - loss: 0.8796 - mse: 1.6175\n",
- "Epoch 171/1400\n",
- "28/28 [==============================] - 0s 969us/step - loss: 0.8434 - mse: 1.5327\n",
- "Epoch 172/1400\n",
- "28/28 [==============================] - 0s 863us/step - loss: 0.8522 - mse: 1.5529\n",
- "Epoch 173/1400\n",
- "28/28 [==============================] - 0s 891us/step - loss: 0.8438 - mse: 1.5353\n",
- "Epoch 174/1400\n",
- "28/28 [==============================] - 0s 850us/step - loss: 0.8373 - mse: 1.5235\n",
- "Epoch 175/1400\n",
- "28/28 [==============================] - 0s 963us/step - loss: 0.8355 - mse: 1.5277\n",
- "Epoch 176/1400\n",
- "28/28 [==============================] - 0s 884us/step - loss: 0.8519 - mse: 1.5421\n",
- "Epoch 177/1400\n",
- "28/28 [==============================] - 0s 921us/step - loss: 0.8193 - mse: 1.4836\n",
- "Epoch 178/1400\n",
- "28/28 [==============================] - 0s 887us/step - loss: 0.8365 - mse: 1.5045\n",
- "Epoch 179/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.8292 - mse: 1.4868\n",
- "Epoch 180/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.8212 - mse: 1.4872\n",
- "Epoch 181/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.8052 - mse: 1.4669\n",
- "Epoch 182/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.8017 - mse: 1.4602\n",
- "Epoch 183/1400\n",
- "28/28 [==============================] - 0s 941us/step - loss: 0.8032 - mse: 1.4374\n",
- "Epoch 184/1400\n",
- "28/28 [==============================] - 0s 967us/step - loss: 0.7952 - mse: 1.4301\n",
- "Epoch 185/1400\n",
- "28/28 [==============================] - 0s 899us/step - loss: 0.7954 - mse: 1.4301\n",
- "Epoch 186/1400\n",
- "28/28 [==============================] - 0s 913us/step - loss: 0.8095 - mse: 1.4318\n",
- "Epoch 187/1400\n",
- "28/28 [==============================] - 0s 898us/step - loss: 0.8034 - mse: 1.4279\n",
- "Epoch 188/1400\n",
- "28/28 [==============================] - 0s 949us/step - loss: 0.8165 - mse: 1.4398\n",
- "Epoch 189/1400\n",
- "28/28 [==============================] - 0s 922us/step - loss: 0.8100 - mse: 1.4493\n",
- "Epoch 190/1400\n",
- "28/28 [==============================] - 0s 954us/step - loss: 0.7791 - mse: 1.3863\n",
- "Epoch 191/1400\n",
- "28/28 [==============================] - 0s 918us/step - loss: 0.7770 - mse: 1.3763\n",
- "Epoch 192/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.7907 - mse: 1.4141\n",
- "Epoch 193/1400\n",
- "28/28 [==============================] - 0s 963us/step - loss: 0.7775 - mse: 1.3671\n",
- "Epoch 194/1400\n",
- "28/28 [==============================] - 0s 965us/step - loss: 0.8015 - mse: 1.4188\n",
- "Epoch 195/1400\n",
- "28/28 [==============================] - 0s 959us/step - loss: 0.7689 - mse: 1.3395\n",
- "Epoch 196/1400\n",
- "28/28 [==============================] - 0s 923us/step - loss: 0.7723 - mse: 1.3511\n",
- "Epoch 197/1400\n",
- "28/28 [==============================] - 0s 907us/step - loss: 0.7731 - mse: 1.3522\n",
- "Epoch 198/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.7821 - mse: 1.3562\n",
- "Epoch 199/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.7910 - mse: 1.3654\n",
- "Epoch 200/1400\n",
- "28/28 [==============================] - 0s 973us/step - loss: 0.7635 - mse: 1.3317\n",
- "Epoch 201/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.7666 - mse: 1.3338\n",
- "Epoch 202/1400\n",
- "28/28 [==============================] - 0s 891us/step - loss: 0.7593 - mse: 1.2963\n",
- "Epoch 203/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.7761 - mse: 1.3371\n",
- "Epoch 204/1400\n",
- "28/28 [==============================] - 0s 958us/step - loss: 0.7563 - mse: 1.2958\n",
- "Epoch 205/1400\n",
- "28/28 [==============================] - 0s 899us/step - loss: 0.7585 - mse: 1.2979\n",
- "Epoch 206/1400\n",
- "28/28 [==============================] - 0s 984us/step - loss: 0.7571 - mse: 1.3027\n",
- "Epoch 207/1400\n",
- "28/28 [==============================] - 0s 937us/step - loss: 0.7514 - mse: 1.2810\n",
- "Epoch 208/1400\n",
- "28/28 [==============================] - 0s 895us/step - loss: 0.7475 - mse: 1.2885\n",
- "Epoch 209/1400\n",
- "28/28 [==============================] - 0s 862us/step - loss: 0.7569 - mse: 1.2968\n",
- "Epoch 210/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.7401 - mse: 1.2682\n",
- "Epoch 211/1400\n",
- "28/28 [==============================] - 0s 919us/step - loss: 0.7605 - mse: 1.2953\n",
- "Epoch 212/1400\n",
- "28/28 [==============================] - 0s 922us/step - loss: 0.7493 - mse: 1.2862\n",
- "Epoch 213/1400\n",
- "28/28 [==============================] - 0s 971us/step - loss: 0.7485 - mse: 1.2573\n",
- "Epoch 214/1400\n",
- "28/28 [==============================] - 0s 961us/step - loss: 0.7620 - mse: 1.2917\n",
- "Epoch 215/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.7593 - mse: 1.2876\n",
- "Epoch 216/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.7249 - mse: 1.2323\n",
- "Epoch 217/1400\n",
- "28/28 [==============================] - 0s 887us/step - loss: 0.7300 - mse: 1.2436\n",
- "Epoch 218/1400\n",
- "28/28 [==============================] - 0s 900us/step - loss: 0.7394 - mse: 1.2383\n",
- "Epoch 219/1400\n",
- "28/28 [==============================] - 0s 924us/step - loss: 0.7709 - mse: 1.2748\n",
- "Epoch 220/1400\n",
- "28/28 [==============================] - 0s 958us/step - loss: 0.7471 - mse: 1.2473\n",
- "Epoch 221/1400\n",
- "28/28 [==============================] - 0s 870us/step - loss: 0.7291 - mse: 1.2450\n",
- "Epoch 222/1400\n",
- "28/28 [==============================] - 0s 923us/step - loss: 0.7267 - mse: 1.2067\n",
- "Epoch 223/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.7441 - mse: 1.2283\n",
- "Epoch 224/1400\n",
- "28/28 [==============================] - 0s 909us/step - loss: 0.7323 - mse: 1.2276\n",
- "Epoch 225/1400\n",
- "28/28 [==============================] - 0s 998us/step - loss: 0.7193 - mse: 1.2109\n",
- "Epoch 226/1400\n",
- "28/28 [==============================] - 0s 948us/step - loss: 0.7352 - mse: 1.2272\n",
- "Epoch 227/1400\n",
- "28/28 [==============================] - 0s 908us/step - loss: 0.7109 - mse: 1.1822\n",
- "Epoch 228/1400\n",
- "28/28 [==============================] - 0s 1000us/step - loss: 0.7157 - mse: 1.1840\n",
- "Epoch 229/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.7240 - mse: 1.1906\n",
- "Epoch 230/1400\n",
- "28/28 [==============================] - 0s 974us/step - loss: 0.7380 - mse: 1.2415\n",
- "Epoch 231/1400\n",
- "28/28 [==============================] - 0s 995us/step - loss: 0.7655 - mse: 1.2631\n",
- "Epoch 232/1400\n",
- "28/28 [==============================] - 0s 948us/step - loss: 0.7184 - mse: 1.1787\n",
- "Epoch 233/1400\n",
- "28/28 [==============================] - 0s 948us/step - loss: 0.7020 - mse: 1.1543\n",
- "Epoch 234/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6999 - mse: 1.1539\n",
- "Epoch 235/1400\n",
- "28/28 [==============================] - 0s 972us/step - loss: 0.7052 - mse: 1.1714\n",
- "Epoch 236/1400\n",
- "28/28 [==============================] - 0s 937us/step - loss: 0.7242 - mse: 1.1849\n",
- "Epoch 237/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.7049 - mse: 1.1609\n",
- "Epoch 238/1400\n",
- "28/28 [==============================] - 0s 907us/step - loss: 0.7224 - mse: 1.1779\n",
- "Epoch 239/1400\n",
- "28/28 [==============================] - 0s 938us/step - loss: 0.7060 - mse: 1.1628\n",
- "Epoch 240/1400\n",
- "28/28 [==============================] - 0s 934us/step - loss: 0.7192 - mse: 1.1833\n",
- "Epoch 241/1400\n",
- "28/28 [==============================] - 0s 989us/step - loss: 0.7291 - mse: 1.1959\n",
- "Epoch 242/1400\n",
- "28/28 [==============================] - 0s 940us/step - loss: 0.7016 - mse: 1.1360\n",
- "Epoch 243/1400\n",
- "28/28 [==============================] - 0s 946us/step - loss: 0.6849 - mse: 1.1129\n",
- "Epoch 244/1400\n",
- "28/28 [==============================] - 0s 993us/step - loss: 0.7072 - mse: 1.1498\n",
- "Epoch 245/1400\n",
- "28/28 [==============================] - 0s 970us/step - loss: 0.6939 - mse: 1.1204\n",
- "Epoch 246/1400\n",
- "28/28 [==============================] - 0s 889us/step - loss: 0.7056 - mse: 1.1537\n",
- "Epoch 247/1400\n",
- "28/28 [==============================] - 0s 929us/step - loss: 0.7097 - mse: 1.1380\n",
- "Epoch 248/1400\n",
- "28/28 [==============================] - 0s 879us/step - loss: 0.6818 - mse: 1.1012\n",
- "Epoch 249/1400\n",
- "28/28 [==============================] - 0s 854us/step - loss: 0.6834 - mse: 1.1119\n",
- "Epoch 250/1400\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6966 - mse: 1.1263\n",
- "Epoch 251/1400\n",
- "28/28 [==============================] - 0s 957us/step - loss: 0.6981 - mse: 1.1247\n",
- "Epoch 252/1400\n",
- "28/28 [==============================] - 0s 942us/step - loss: 0.6939 - mse: 1.1220\n",
- "Epoch 253/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6935 - mse: 1.1220\n",
- "Epoch 254/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6738 - mse: 1.0876\n",
- "Epoch 255/1400\n",
- "28/28 [==============================] - 0s 927us/step - loss: 0.6713 - mse: 1.0982\n",
- "Epoch 256/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6877 - mse: 1.1139\n",
- "Epoch 257/1400\n",
- "28/28 [==============================] - 0s 962us/step - loss: 0.6771 - mse: 1.1003\n",
- "Epoch 258/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6985 - mse: 1.1085\n",
- "Epoch 259/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6880 - mse: 1.1268\n",
- "Epoch 260/1400\n",
- "28/28 [==============================] - 0s 911us/step - loss: 0.6820 - mse: 1.0988\n",
- "Epoch 261/1400\n",
- "28/28 [==============================] - 0s 981us/step - loss: 0.6666 - mse: 1.0843\n",
- "Epoch 262/1400\n",
- "28/28 [==============================] - 0s 979us/step - loss: 0.6786 - mse: 1.1015\n",
- "Epoch 263/1400\n",
- "28/28 [==============================] - 0s 906us/step - loss: 0.6768 - mse: 1.1027\n",
- "Epoch 264/1400\n",
- "28/28 [==============================] - 0s 847us/step - loss: 0.6719 - mse: 1.0730\n",
- "Epoch 265/1400\n",
- "28/28 [==============================] - 0s 883us/step - loss: 0.6664 - mse: 1.0605\n",
- "Epoch 266/1400\n",
- "28/28 [==============================] - 0s 900us/step - loss: 0.7007 - mse: 1.1159\n",
- "Epoch 267/1400\n",
- "28/28 [==============================] - 0s 996us/step - loss: 0.6669 - mse: 1.0692\n",
- "Epoch 268/1400\n",
- "28/28 [==============================] - 0s 910us/step - loss: 0.6692 - mse: 1.0689\n",
- "Epoch 269/1400\n",
- "28/28 [==============================] - 0s 883us/step - loss: 0.6846 - mse: 1.0969\n",
- "Epoch 270/1400\n",
- "28/28 [==============================] - 0s 879us/step - loss: 0.6861 - mse: 1.0810\n",
- "Epoch 271/1400\n",
- "28/28 [==============================] - 0s 923us/step - loss: 0.6806 - mse: 1.0811\n",
- "Epoch 272/1400\n",
- "28/28 [==============================] - 0s 942us/step - loss: 0.6674 - mse: 1.0717\n",
- "Epoch 273/1400\n",
- "28/28 [==============================] - 0s 902us/step - loss: 0.6567 - mse: 1.0581\n",
- "Epoch 274/1400\n",
- "28/28 [==============================] - 0s 937us/step - loss: 0.6665 - mse: 1.0539\n",
- "Epoch 275/1400\n",
- "28/28 [==============================] - 0s 908us/step - loss: 0.6785 - mse: 1.0799\n",
- "Epoch 276/1400\n",
- "28/28 [==============================] - 0s 962us/step - loss: 0.6532 - mse: 1.0412\n",
- "Epoch 277/1400\n",
- "28/28 [==============================] - 0s 924us/step - loss: 0.6538 - mse: 1.0379\n",
- "Epoch 278/1400\n",
- "28/28 [==============================] - 0s 888us/step - loss: 0.6518 - mse: 1.0256\n",
- "Epoch 279/1400\n",
- "28/28 [==============================] - 0s 894us/step - loss: 0.6510 - mse: 1.0321\n",
- "Epoch 280/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6688 - mse: 1.0570\n",
- "Epoch 281/1400\n",
- "28/28 [==============================] - 0s 936us/step - loss: 0.6619 - mse: 1.0411\n",
- "Epoch 282/1400\n",
- "28/28 [==============================] - 0s 924us/step - loss: 0.6392 - mse: 1.0174\n",
- "Epoch 283/1400\n",
- "28/28 [==============================] - 0s 937us/step - loss: 0.6448 - mse: 1.0319\n",
- "Epoch 284/1400\n",
- "28/28 [==============================] - 0s 969us/step - loss: 0.6918 - mse: 1.0999\n",
- "Epoch 285/1400\n",
- "28/28 [==============================] - 0s 993us/step - loss: 0.6532 - mse: 1.0381\n",
- "Epoch 286/1400\n",
- "28/28 [==============================] - 0s 892us/step - loss: 0.6403 - mse: 1.0099\n",
- "Epoch 287/1400\n",
- "28/28 [==============================] - 0s 948us/step - loss: 0.6319 - mse: 1.0021\n",
- "Epoch 288/1400\n",
- "28/28 [==============================] - 0s 941us/step - loss: 0.6681 - mse: 1.0438\n",
- "Epoch 289/1400\n",
- "28/28 [==============================] - 0s 948us/step - loss: 0.6447 - mse: 1.0107\n",
- "Epoch 290/1400\n",
- "28/28 [==============================] - 0s 870us/step - loss: 0.6339 - mse: 1.0090\n",
- "Epoch 291/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6320 - mse: 1.0085\n",
- "Epoch 292/1400\n",
- "28/28 [==============================] - 0s 931us/step - loss: 0.6561 - mse: 1.0373\n",
- "Epoch 293/1400\n",
- "28/28 [==============================] - 0s 883us/step - loss: 0.6346 - mse: 0.9860\n",
- "Epoch 294/1400\n",
- "28/28 [==============================] - 0s 918us/step - loss: 0.6450 - mse: 1.0161\n",
- "Epoch 295/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6487 - mse: 1.0083\n",
- "Epoch 296/1400\n",
- "28/28 [==============================] - 0s 980us/step - loss: 0.6457 - mse: 1.0228\n",
- "Epoch 297/1400\n",
- "28/28 [==============================] - 0s 924us/step - loss: 0.6382 - mse: 1.0126\n",
- "Epoch 298/1400\n",
- "28/28 [==============================] - 0s 864us/step - loss: 0.6233 - mse: 0.9784\n",
- "Epoch 299/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6387 - mse: 1.0113\n",
- "Epoch 300/1400\n",
- "28/28 [==============================] - 0s 923us/step - loss: 0.6143 - mse: 0.9564\n",
- "Epoch 301/1400\n",
- "28/28 [==============================] - 0s 871us/step - loss: 0.6267 - mse: 0.9805\n",
- "Epoch 302/1400\n",
- "28/28 [==============================] - 0s 974us/step - loss: 0.6222 - mse: 0.9652\n",
- "Epoch 303/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6388 - mse: 1.0017\n",
- "Epoch 304/1400\n",
- "28/28 [==============================] - 0s 947us/step - loss: 0.6375 - mse: 0.9849\n",
- "Epoch 305/1400\n",
- "28/28 [==============================] - 0s 871us/step - loss: 0.6170 - mse: 0.9567\n",
- "Epoch 306/1400\n",
- "28/28 [==============================] - 0s 922us/step - loss: 0.6215 - mse: 0.9747\n",
- "Epoch 307/1400\n",
- "28/28 [==============================] - 0s 979us/step - loss: 0.6205 - mse: 0.9725\n",
- "Epoch 308/1400\n",
- "28/28 [==============================] - 0s 909us/step - loss: 0.6606 - mse: 1.0157\n",
- "Epoch 309/1400\n",
- "28/28 [==============================] - 0s 898us/step - loss: 0.6776 - mse: 1.0317\n",
- "Epoch 310/1400\n",
- "28/28 [==============================] - 0s 943us/step - loss: 0.6103 - mse: 0.9409\n",
- "Epoch 311/1400\n",
- "28/28 [==============================] - 0s 952us/step - loss: 0.6256 - mse: 0.9741\n",
- "Epoch 312/1400\n",
- "28/28 [==============================] - 0s 943us/step - loss: 0.6173 - mse: 0.9466\n",
- "Epoch 313/1400\n",
- "28/28 [==============================] - 0s 920us/step - loss: 0.6078 - mse: 0.9423\n",
- "Epoch 314/1400\n",
- "28/28 [==============================] - 0s 922us/step - loss: 0.6055 - mse: 0.9346\n",
- "Epoch 315/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.6237 - mse: 0.9655\n",
- "Epoch 316/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6126 - mse: 0.9372\n",
- "Epoch 317/1400\n",
- "28/28 [==============================] - 0s 945us/step - loss: 0.5972 - mse: 0.9207\n",
- "Epoch 318/1400\n",
- "28/28 [==============================] - 0s 877us/step - loss: 0.6041 - mse: 0.9542\n",
- "Epoch 319/1400\n",
- "28/28 [==============================] - 0s 968us/step - loss: 0.6052 - mse: 0.9311\n",
- "Epoch 320/1400\n",
- "28/28 [==============================] - 0s 981us/step - loss: 0.5974 - mse: 0.9225\n",
- "Epoch 321/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6008 - mse: 0.9323\n",
- "Epoch 322/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6213 - mse: 0.9565\n",
- "Epoch 323/1400\n",
- "28/28 [==============================] - 0s 948us/step - loss: 0.6241 - mse: 0.9407\n",
- "Epoch 324/1400\n",
- "28/28 [==============================] - 0s 881us/step - loss: 0.6166 - mse: 0.9562\n",
- "Epoch 325/1400\n",
- "28/28 [==============================] - 0s 947us/step - loss: 0.6248 - mse: 0.9392\n",
- "Epoch 326/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6247 - mse: 0.9566\n",
- "Epoch 327/1400\n",
- "28/28 [==============================] - 0s 896us/step - loss: 0.6090 - mse: 0.9228\n",
- "Epoch 328/1400\n",
- "28/28 [==============================] - 0s 860us/step - loss: 0.6242 - mse: 0.9545\n",
- "Epoch 329/1400\n",
- "28/28 [==============================] - 0s 939us/step - loss: 0.6149 - mse: 0.9128\n",
- "Epoch 330/1400\n",
- "28/28 [==============================] - 0s 926us/step - loss: 0.5975 - mse: 0.9127\n",
- "Epoch 331/1400\n",
- "28/28 [==============================] - 0s 911us/step - loss: 0.5898 - mse: 0.8975\n",
- "Epoch 332/1400\n",
- "28/28 [==============================] - 0s 946us/step - loss: 0.6118 - mse: 0.9240\n",
- "Epoch 333/1400\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "28/28 [==============================] - 0s 2ms/step - loss: 0.6013 - mse: 0.9075\n",
- "Epoch 334/1400\n",
- "28/28 [==============================] - 0s 927us/step - loss: 0.5760 - mse: 0.8848\n",
- "Epoch 335/1400\n",
- "28/28 [==============================] - 0s 892us/step - loss: 0.5895 - mse: 0.8988\n",
- "Epoch 336/1400\n",
- "28/28 [==============================] - 0s 959us/step - loss: 0.5882 - mse: 0.8945\n",
- "Epoch 337/1400\n",
- "28/28 [==============================] - 0s 963us/step - loss: 0.5833 - mse: 0.8912\n",
- "Epoch 338/1400\n",
- "28/28 [==============================] - 0s 850us/step - loss: 0.6050 - mse: 0.9297\n",
- "Epoch 339/1400\n",
- "28/28 [==============================] - 0s 891us/step - loss: 0.6103 - mse: 0.9219\n",
- "Epoch 340/1400\n",
- "28/28 [==============================] - 0s 980us/step - loss: 0.5772 - mse: 0.8859\n",
- "Epoch 341/1400\n",
- "28/28 [==============================] - 0s 873us/step - loss: 0.5842 - mse: 0.8838\n",
- "Epoch 342/1400\n",
- "28/28 [==============================] - 0s 898us/step - loss: 0.6098 - mse: 0.9214\n",
- "Epoch 343/1400\n",
- "28/28 [==============================] - 0s 914us/step - loss: 0.5828 - mse: 0.8771\n",
- "Epoch 344/1400\n",
- "28/28 [==============================] - 0s 993us/step - loss: 0.5783 - mse: 0.8644\n",
- "Epoch 345/1400\n",
- "28/28 [==============================] - 0s 901us/step - loss: 0.5885 - mse: 0.8891\n",
- "Epoch 346/1400\n",
- "28/28 [==============================] - 0s 925us/step - loss: 0.5694 - mse: 0.8602\n",
- "Epoch 347/1400\n",
- "28/28 [==============================] - 0s 904us/step - loss: 0.5688 - mse: 0.8623\n",
- "Epoch 348/1400\n",
- "28/28 [==============================] - 0s 928us/step - loss: 0.5790 - mse: 0.8592\n",
- "Epoch 349/1400\n",
- "28/28 [==============================] - 0s 986us/step - loss: 0.5653 - mse: 0.8473\n",
- "Epoch 350/1400\n",
- "28/28 [==============================] - 0s 909us/step - loss: 0.5770 - mse: 0.8618\n",
- "Epoch 351/1400\n",
- "28/28 [==============================] - 0s 850us/step - loss: 0.5739 - mse: 0.8574\n",
- "Epoch 352/1400\n",
- "28/28 [==============================] - 0s 868us/step - loss: 0.5817 - mse: 0.8583\n",
- "Epoch 353/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.5905 - mse: 0.8722\n",
- "Epoch 354/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.5752 - mse: 0.8572\n",
- "Epoch 355/1400\n",
- "28/28 [==============================] - 0s 872us/step - loss: 0.5813 - mse: 0.8627\n",
- "Epoch 356/1400\n",
- "28/28 [==============================] - 0s 896us/step - loss: 0.5752 - mse: 0.8558\n",
- "Epoch 357/1400\n",
- "28/28 [==============================] - 0s 855us/step - loss: 0.5631 - mse: 0.8281\n",
- "Epoch 358/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.5670 - mse: 0.8454\n",
- "Epoch 359/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.5824 - mse: 0.8671\n",
- "Epoch 360/1400\n",
- "28/28 [==============================] - 0s 867us/step - loss: 0.5913 - mse: 0.8695\n",
- "Epoch 361/1400\n",
- "28/28 [==============================] - 0s 898us/step - loss: 0.5706 - mse: 0.8565\n",
- "Epoch 362/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.6052 - mse: 0.8946\n",
- "Epoch 363/1400\n",
- "28/28 [==============================] - 0s 932us/step - loss: 0.5897 - mse: 0.8776\n",
- "Epoch 364/1400\n",
- "28/28 [==============================] - 0s 922us/step - loss: 0.5650 - mse: 0.8343\n",
- "Epoch 365/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.5758 - mse: 0.8250\n",
- "Epoch 366/1400\n",
- "28/28 [==============================] - 0s 928us/step - loss: 0.5553 - mse: 0.8208\n",
- "Epoch 367/1400\n",
- "28/28 [==============================] - 0s 921us/step - loss: 0.5628 - mse: 0.8296\n",
- "Epoch 368/1400\n",
- "28/28 [==============================] - 0s 965us/step - loss: 0.5942 - mse: 0.8729\n",
- "Epoch 369/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.5645 - mse: 0.8340\n",
- "Epoch 370/1400\n",
- "28/28 [==============================] - 0s 933us/step - loss: 0.5820 - mse: 0.8555\n",
- "Epoch 371/1400\n",
- "28/28 [==============================] - 0s 943us/step - loss: 0.5885 - mse: 0.8366\n",
- "Epoch 372/1400\n",
- "28/28 [==============================] - 0s 938us/step - loss: 0.5748 - mse: 0.8419\n",
- "Epoch 373/1400\n",
- "28/28 [==============================] - 0s 962us/step - loss: 0.5695 - mse: 0.8231\n",
- "Epoch 374/1400\n",
- "28/28 [==============================] - 0s 923us/step - loss: 0.6046 - mse: 0.8563\n",
- "Epoch 375/1400\n",
- "28/28 [==============================] - 0s 869us/step - loss: 0.5675 - mse: 0.8337\n",
- "Epoch 376/1400\n",
- "28/28 [==============================] - 0s 990us/step - loss: 0.5503 - mse: 0.8065\n",
- "Epoch 377/1400\n",
- "28/28 [==============================] - 0s 910us/step - loss: 0.5646 - mse: 0.8192\n",
- "Epoch 378/1400\n",
- "28/28 [==============================] - 0s 920us/step - loss: 0.5615 - mse: 0.8167\n",
- "Epoch 379/1400\n",
- "28/28 [==============================] - 0s 940us/step - loss: 0.5600 - mse: 0.8119\n",
- "Epoch 380/1400\n",
- "28/28 [==============================] - 0s 901us/step - loss: 0.5571 - mse: 0.8109\n",
- "Epoch 381/1400\n",
- "28/28 [==============================] - 0s 866us/step - loss: 0.5545 - mse: 0.8063\n",
- "Epoch 382/1400\n",
- "28/28 [==============================] - 0s 970us/step - loss: 0.5529 - mse: 0.8144\n",
- "Epoch 383/1400\n",
- "28/28 [==============================] - 0s 936us/step - loss: 0.5539 - mse: 0.8056\n",
- "Epoch 384/1400\n",
- "28/28 [==============================] - 0s 900us/step - loss: 0.5536 - mse: 0.8107\n",
- "Epoch 385/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.5459 - mse: 0.8017\n",
- "Epoch 386/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.5454 - mse: 0.7968\n",
- "Epoch 387/1400\n",
- "28/28 [==============================] - 0s 894us/step - loss: 0.5476 - mse: 0.8004\n",
- "Epoch 388/1400\n",
- "28/28 [==============================] - 0s 971us/step - loss: 0.5633 - mse: 0.8150\n",
- "Epoch 389/1400\n",
- "28/28 [==============================] - 0s 973us/step - loss: 0.5538 - mse: 0.8120\n",
- "Epoch 390/1400\n",
- "28/28 [==============================] - 0s 953us/step - loss: 0.6197 - mse: 0.8829\n",
- "Epoch 391/1400\n",
- "28/28 [==============================] - 0s 898us/step - loss: 0.5919 - mse: 0.8247\n",
- "Epoch 392/1400\n",
- "28/28 [==============================] - 0s 875us/step - loss: 0.5652 - mse: 0.8190\n",
- "Epoch 393/1400\n",
- "28/28 [==============================] - 0s 901us/step - loss: 0.5666 - mse: 0.8121\n",
- "Epoch 394/1400\n",
- "28/28 [==============================] - 0s 930us/step - loss: 0.5625 - mse: 0.7888\n",
- "Epoch 395/1400\n",
- "28/28 [==============================] - 0s 982us/step - loss: 0.5501 - mse: 0.8000\n",
- "Epoch 396/1400\n",
- "28/28 [==============================] - 0s 888us/step - loss: 0.5458 - mse: 0.7785\n",
- "Epoch 397/1400\n",
- "28/28 [==============================] - 0s 959us/step - loss: 0.5422 - mse: 0.7849\n",
- "Epoch 398/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.5438 - mse: 0.7749\n",
- "Epoch 399/1400\n",
- "28/28 [==============================] - 0s 888us/step - loss: 0.5550 - mse: 0.8040\n",
- "Epoch 400/1400\n",
- "28/28 [==============================] - 0s 881us/step - loss: 0.5349 - mse: 0.7725\n",
- "Epoch 401/1400\n",
- "28/28 [==============================] - 0s 898us/step - loss: 0.5449 - mse: 0.7886\n",
- "Epoch 402/1400\n",
- "28/28 [==============================] - 0s 929us/step - loss: 0.5521 - mse: 0.8022\n",
- "Epoch 403/1400\n",
- "28/28 [==============================] - 0s 911us/step - loss: 0.5800 - mse: 0.8081\n",
- "Epoch 404/1400\n",
- "28/28 [==============================] - 0s 887us/step - loss: 0.5439 - mse: 0.7738\n",
- "Epoch 405/1400\n",
- "28/28 [==============================] - 0s 886us/step - loss: 0.5538 - mse: 0.7845\n",
- "Epoch 406/1400\n",
- "28/28 [==============================] - 0s 970us/step - loss: 0.5643 - mse: 0.8017\n",
- "Epoch 407/1400\n",
- "28/28 [==============================] - 0s 957us/step - loss: 0.5829 - mse: 0.8143\n",
- "Epoch 408/1400\n",
- "28/28 [==============================] - 0s 886us/step - loss: 0.5686 - mse: 0.7996\n",
- "Epoch 409/1400\n",
- "28/28 [==============================] - 0s 883us/step - loss: 0.5495 - mse: 0.7878\n",
- "Epoch 410/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.5480 - mse: 0.7691\n",
- "Epoch 411/1400\n",
- "28/28 [==============================] - 0s 909us/step - loss: 0.5502 - mse: 0.7795\n",
- "Epoch 412/1400\n",
- "28/28 [==============================] - 0s 878us/step - loss: 0.5475 - mse: 0.7642\n",
- "Epoch 413/1400\n",
- "28/28 [==============================] - 0s 938us/step - loss: 0.5772 - mse: 0.8065\n",
- "Epoch 414/1400\n",
- "28/28 [==============================] - 0s 953us/step - loss: 0.5573 - mse: 0.7804\n",
- "Epoch 415/1400\n",
- "28/28 [==============================] - 0s 885us/step - loss: 0.5528 - mse: 0.7836\n",
- "Epoch 416/1400\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "28/28 [==============================] - 0s 924us/step - loss: 0.5403 - mse: 0.7586\n",
- "Epoch 417/1400\n",
- "28/28 [==============================] - 0s 927us/step - loss: 0.5449 - mse: 0.7680\n",
- "Epoch 418/1400\n",
- "28/28 [==============================] - 0s 885us/step - loss: 0.5536 - mse: 0.7880\n",
- "Epoch 419/1400\n",
- "28/28 [==============================] - 0s 988us/step - loss: 0.5398 - mse: 0.7622\n",
- "Epoch 420/1400\n",
- "28/28 [==============================] - 0s 946us/step - loss: 0.5325 - mse: 0.7548\n",
- "Epoch 421/1400\n",
- "28/28 [==============================] - 0s 924us/step - loss: 0.5218 - mse: 0.7525\n",
- "Epoch 422/1400\n",
- "28/28 [==============================] - 0s 884us/step - loss: 0.5455 - mse: 0.7676\n",
- "Epoch 423/1400\n",
- "28/28 [==============================] - 0s 916us/step - loss: 0.5642 - mse: 0.7944\n",
- "Epoch 424/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.5252 - mse: 0.7527\n",
- "Epoch 425/1400\n",
- "28/28 [==============================] - 0s 992us/step - loss: 0.5352 - mse: 0.7526\n",
- "Epoch 426/1400\n",
- "28/28 [==============================] - 0s 896us/step - loss: 0.5255 - mse: 0.7497\n",
- "Epoch 427/1400\n",
- "28/28 [==============================] - 0s 888us/step - loss: 0.5378 - mse: 0.7536\n",
- "Epoch 428/1400\n",
- "28/28 [==============================] - 0s 915us/step - loss: 0.5255 - mse: 0.7474\n",
- "Epoch 429/1400\n",
- "28/28 [==============================] - 0s 975us/step - loss: 0.5314 - mse: 0.7506\n",
- "Epoch 430/1400\n",
- "28/28 [==============================] - 0s 898us/step - loss: 0.5178 - mse: 0.7332\n",
- "Epoch 431/1400\n",
- "28/28 [==============================] - 0s 969us/step - loss: 0.5555 - mse: 0.7791\n",
- "Epoch 432/1400\n",
- "28/28 [==============================] - 0s 870us/step - loss: 0.5574 - mse: 0.7765\n",
- "Epoch 433/1400\n",
- "28/28 [==============================] - 0s 986us/step - loss: 0.5392 - mse: 0.7541\n",
- "Epoch 434/1400\n",
- "28/28 [==============================] - 0s 922us/step - loss: 0.5268 - mse: 0.7492\n",
- "Epoch 435/1400\n",
- "28/28 [==============================] - 0s 927us/step - loss: 0.5212 - mse: 0.7293\n",
- "Epoch 436/1400\n",
- "28/28 [==============================] - 0s 951us/step - loss: 0.5297 - mse: 0.7434\n",
- "Epoch 437/1400\n",
- "28/28 [==============================] - 0s 901us/step - loss: 0.5255 - mse: 0.7362\n",
- "Epoch 438/1400\n",
- "28/28 [==============================] - 0s 924us/step - loss: 0.5143 - mse: 0.7312\n",
- "Epoch 439/1400\n",
- "28/28 [==============================] - 0s 893us/step - loss: 0.5187 - mse: 0.7380\n",
- "Epoch 440/1400\n",
- "28/28 [==============================] - 0s 892us/step - loss: 0.5504 - mse: 0.7765\n",
- "Epoch 441/1400\n",
- "28/28 [==============================] - 0s 918us/step - loss: 0.5239 - mse: 0.7294\n",
- "Epoch 442/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.5386 - mse: 0.7423\n",
- "Epoch 443/1400\n",
- "28/28 [==============================] - 0s 889us/step - loss: 0.5355 - mse: 0.7541\n",
- "Epoch 444/1400\n",
- "28/28 [==============================] - 0s 928us/step - loss: 0.5382 - mse: 0.7408\n",
- "Epoch 445/1400\n",
- "28/28 [==============================] - 0s 907us/step - loss: 0.5265 - mse: 0.7428\n",
- "Epoch 446/1400\n",
- "28/28 [==============================] - 0s 976us/step - loss: 0.5624 - mse: 0.7697\n",
- "Epoch 447/1400\n",
- "28/28 [==============================] - 0s 981us/step - loss: 0.5753 - mse: 0.7968\n",
- "Epoch 448/1400\n",
- "28/28 [==============================] - 0s 908us/step - loss: 0.5190 - mse: 0.7292\n",
- "Epoch 449/1400\n",
- "28/28 [==============================] - 0s 939us/step - loss: 0.5250 - mse: 0.7309\n",
- "Epoch 450/1400\n",
- "28/28 [==============================] - 0s 908us/step - loss: 0.5133 - mse: 0.7145\n",
- "Epoch 451/1400\n",
- "28/28 [==============================] - 0s 928us/step - loss: 0.5175 - mse: 0.7145\n",
- "Epoch 452/1400\n",
- "28/28 [==============================] - 0s 887us/step - loss: 0.5260 - mse: 0.7285\n",
- "Epoch 453/1400\n",
- "28/28 [==============================] - 0s 892us/step - loss: 0.5098 - mse: 0.7108\n",
- "Epoch 454/1400\n",
- "28/28 [==============================] - 0s 933us/step - loss: 0.5132 - mse: 0.7158\n",
- "Epoch 455/1400\n",
- "28/28 [==============================] - 0s 913us/step - loss: 0.5233 - mse: 0.7212\n",
- "Epoch 456/1400\n",
- "28/28 [==============================] - 0s 981us/step - loss: 0.5109 - mse: 0.6971\n",
- "Epoch 457/1400\n",
- "28/28 [==============================] - 0s 909us/step - loss: 0.5473 - mse: 0.7507\n",
- "Epoch 458/1400\n",
- "28/28 [==============================] - 0s 968us/step - loss: 0.5131 - mse: 0.7113\n",
- "Epoch 459/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.5091 - mse: 0.7135\n",
- "Epoch 460/1400\n",
- "28/28 [==============================] - 0s 986us/step - loss: 0.5009 - mse: 0.7024\n",
- "Epoch 461/1400\n",
- "28/28 [==============================] - 0s 910us/step - loss: 0.5193 - mse: 0.7176\n",
- "Epoch 462/1400\n",
- "28/28 [==============================] - 0s 967us/step - loss: 0.5185 - mse: 0.7112\n",
- "Epoch 463/1400\n",
- "28/28 [==============================] - 0s 996us/step - loss: 0.5292 - mse: 0.7349\n",
- "Epoch 464/1400\n",
- "28/28 [==============================] - 0s 905us/step - loss: 0.5421 - mse: 0.7322\n",
- "Epoch 465/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.5532 - mse: 0.7504\n",
- "Epoch 466/1400\n",
- "28/28 [==============================] - 0s 910us/step - loss: 0.5108 - mse: 0.7121\n",
- "Epoch 467/1400\n",
- "28/28 [==============================] - 0s 973us/step - loss: 0.5458 - mse: 0.7499\n",
- "Epoch 468/1400\n",
- "28/28 [==============================] - 0s 878us/step - loss: 0.5436 - mse: 0.7427\n",
- "Epoch 469/1400\n",
- "28/28 [==============================] - 0s 918us/step - loss: 0.5267 - mse: 0.7159\n",
- "Epoch 470/1400\n",
- "28/28 [==============================] - 0s 940us/step - loss: 0.5433 - mse: 0.7272\n",
- "Epoch 471/1400\n",
- "28/28 [==============================] - 0s 888us/step - loss: 0.5222 - mse: 0.7128\n",
- "Epoch 472/1400\n",
- "28/28 [==============================] - 0s 930us/step - loss: 0.5154 - mse: 0.6977\n",
- "Epoch 473/1400\n",
- "28/28 [==============================] - 0s 918us/step - loss: 0.5404 - mse: 0.7370\n",
- "Epoch 474/1400\n",
- "28/28 [==============================] - 0s 957us/step - loss: 0.5032 - mse: 0.6944\n",
- "Epoch 475/1400\n",
- "28/28 [==============================] - 0s 955us/step - loss: 0.5043 - mse: 0.6900\n",
- "Epoch 476/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4978 - mse: 0.6871\n",
- "Epoch 477/1400\n",
- "28/28 [==============================] - 0s 905us/step - loss: 0.5123 - mse: 0.6977\n",
- "Epoch 478/1400\n",
- "28/28 [==============================] - 0s 958us/step - loss: 0.5006 - mse: 0.6868\n",
- "Epoch 479/1400\n",
- "28/28 [==============================] - 0s 908us/step - loss: 0.5439 - mse: 0.7281\n",
- "Epoch 480/1400\n",
- "28/28 [==============================] - 0s 914us/step - loss: 0.5167 - mse: 0.7022\n",
- "Epoch 481/1400\n",
- "28/28 [==============================] - 0s 987us/step - loss: 0.5186 - mse: 0.7101\n",
- "Epoch 482/1400\n",
- "28/28 [==============================] - 0s 906us/step - loss: 0.5160 - mse: 0.7042\n",
- "Epoch 483/1400\n",
- "28/28 [==============================] - 0s 906us/step - loss: 0.4945 - mse: 0.6717\n",
- "Epoch 484/1400\n",
- "28/28 [==============================] - 0s 855us/step - loss: 0.4920 - mse: 0.6728\n",
- "Epoch 485/1400\n",
- "28/28 [==============================] - 0s 927us/step - loss: 0.4973 - mse: 0.6882\n",
- "Epoch 486/1400\n",
- "28/28 [==============================] - 0s 925us/step - loss: 0.5181 - mse: 0.6973\n",
- "Epoch 487/1400\n",
- "28/28 [==============================] - 0s 974us/step - loss: 0.5020 - mse: 0.6849\n",
- "Epoch 488/1400\n",
- "28/28 [==============================] - 0s 945us/step - loss: 0.5037 - mse: 0.6943\n",
- "Epoch 489/1400\n",
- "28/28 [==============================] - 0s 928us/step - loss: 0.4932 - mse: 0.6760\n",
- "Epoch 490/1400\n",
- "28/28 [==============================] - 0s 920us/step - loss: 0.5058 - mse: 0.7005\n",
- "Epoch 491/1400\n",
- "28/28 [==============================] - 0s 864us/step - loss: 0.5095 - mse: 0.7003\n",
- "Epoch 492/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4939 - mse: 0.6717\n",
- "Epoch 493/1400\n",
- "28/28 [==============================] - 0s 916us/step - loss: 0.4937 - mse: 0.6803\n",
- "Epoch 494/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4955 - mse: 0.6762\n",
- "Epoch 495/1400\n",
- "28/28 [==============================] - 0s 940us/step - loss: 0.4816 - mse: 0.6614\n",
- "Epoch 496/1400\n",
- "28/28 [==============================] - 0s 980us/step - loss: 0.4845 - mse: 0.6670\n",
- "Epoch 497/1400\n",
- "28/28 [==============================] - 0s 926us/step - loss: 0.4952 - mse: 0.6698\n",
- "Epoch 498/1400\n",
- "28/28 [==============================] - 0s 886us/step - loss: 0.5239 - mse: 0.6916\n",
- "Epoch 499/1400\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "28/28 [==============================] - 0s 966us/step - loss: 0.5273 - mse: 0.7062\n",
- "Epoch 500/1400\n",
- "28/28 [==============================] - 0s 894us/step - loss: 0.5061 - mse: 0.6828\n",
- "Epoch 501/1400\n",
- "28/28 [==============================] - 0s 880us/step - loss: 0.5047 - mse: 0.6695\n",
- "Epoch 502/1400\n",
- "28/28 [==============================] - 0s 997us/step - loss: 0.4925 - mse: 0.6653\n",
- "Epoch 503/1400\n",
- "28/28 [==============================] - 0s 921us/step - loss: 0.4879 - mse: 0.6576\n",
- "Epoch 504/1400\n",
- "28/28 [==============================] - 0s 928us/step - loss: 0.4923 - mse: 0.6694\n",
- "Epoch 505/1400\n",
- "28/28 [==============================] - 0s 895us/step - loss: 0.5010 - mse: 0.6716\n",
- "Epoch 506/1400\n",
- "28/28 [==============================] - 0s 985us/step - loss: 0.4959 - mse: 0.6654\n",
- "Epoch 507/1400\n",
- "28/28 [==============================] - 0s 949us/step - loss: 0.5044 - mse: 0.6641\n",
- "Epoch 508/1400\n",
- "28/28 [==============================] - 0s 914us/step - loss: 0.5267 - mse: 0.7025\n",
- "Epoch 509/1400\n",
- "28/28 [==============================] - 0s 959us/step - loss: 0.5291 - mse: 0.7110\n",
- "Epoch 510/1400\n",
- "28/28 [==============================] - 0s 896us/step - loss: 0.4865 - mse: 0.6499\n",
- "Epoch 511/1400\n",
- "28/28 [==============================] - 0s 983us/step - loss: 0.4942 - mse: 0.6689\n",
- "Epoch 512/1400\n",
- "28/28 [==============================] - 0s 903us/step - loss: 0.4898 - mse: 0.6639\n",
- "Epoch 513/1400\n",
- "28/28 [==============================] - 0s 971us/step - loss: 0.4898 - mse: 0.6548\n",
- "Epoch 514/1400\n",
- "28/28 [==============================] - 0s 900us/step - loss: 0.5101 - mse: 0.6616\n",
- "Epoch 515/1400\n",
- "28/28 [==============================] - 0s 2ms/step - loss: 0.5283 - mse: 0.7014\n",
- "Epoch 516/1400\n",
- "28/28 [==============================] - 0s 964us/step - loss: 0.5374 - mse: 0.6886\n",
- "Epoch 517/1400\n",
- "28/28 [==============================] - 0s 949us/step - loss: 0.4899 - mse: 0.6536\n",
- "Epoch 518/1400\n",
- "28/28 [==============================] - 0s 870us/step - loss: 0.5203 - mse: 0.6758\n",
- "Epoch 519/1400\n",
- "28/28 [==============================] - 0s 913us/step - loss: 0.4969 - mse: 0.6610\n",
- "Epoch 520/1400\n",
- "28/28 [==============================] - 0s 966us/step - loss: 0.4876 - mse: 0.6535\n",
- "Epoch 521/1400\n",
- "28/28 [==============================] - 0s 940us/step - loss: 0.4948 - mse: 0.6609\n",
- "Epoch 522/1400\n",
- "28/28 [==============================] - 0s 906us/step - loss: 0.5004 - mse: 0.6603\n",
- "Epoch 523/1400\n",
- "28/28 [==============================] - 0s 948us/step - loss: 0.5082 - mse: 0.6659\n",
- "Epoch 524/1400\n",
- "28/28 [==============================] - 0s 970us/step - loss: 0.5023 - mse: 0.6724\n",
- "Epoch 525/1400\n",
- "28/28 [==============================] - 0s 890us/step - loss: 0.4933 - mse: 0.6504\n",
- "Epoch 526/1400\n",
- "28/28 [==============================] - 0s 921us/step - loss: 0.4946 - mse: 0.6441\n",
- "Epoch 527/1400\n",
- "28/28 [==============================] - 0s 989us/step - loss: 0.5399 - mse: 0.7004\n",
- "Epoch 528/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.5089 - mse: 0.6632\n",
- "Epoch 529/1400\n",
- "28/28 [==============================] - 0s 904us/step - loss: 0.4840 - mse: 0.6463\n",
- "Epoch 530/1400\n",
- "28/28 [==============================] - 0s 909us/step - loss: 0.5014 - mse: 0.6626\n",
- "Epoch 531/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4881 - mse: 0.6485\n",
- "Epoch 532/1400\n",
- "28/28 [==============================] - 0s 867us/step - loss: 0.5108 - mse: 0.6759\n",
- "Epoch 533/1400\n",
- "28/28 [==============================] - 0s 922us/step - loss: 0.4864 - mse: 0.6370\n",
- "Epoch 534/1400\n",
- "28/28 [==============================] - 0s 923us/step - loss: 0.4763 - mse: 0.6262\n",
- "Epoch 535/1400\n",
- "28/28 [==============================] - 0s 982us/step - loss: 0.4869 - mse: 0.6388\n",
- "Epoch 536/1400\n",
- "28/28 [==============================] - 0s 893us/step - loss: 0.4861 - mse: 0.6437\n",
- "Epoch 537/1400\n",
- "28/28 [==============================] - 0s 907us/step - loss: 0.4736 - mse: 0.6271\n",
- "Epoch 538/1400\n",
- "28/28 [==============================] - 0s 877us/step - loss: 0.5001 - mse: 0.6588\n",
- "Epoch 539/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4678 - mse: 0.6311\n",
- "Epoch 540/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4747 - mse: 0.6461\n",
- "Epoch 541/1400\n",
- "28/28 [==============================] - 0s 914us/step - loss: 0.4724 - mse: 0.6382\n",
- "Epoch 542/1400\n",
- "28/28 [==============================] - 0s 969us/step - loss: 0.4944 - mse: 0.6502\n",
- "Epoch 543/1400\n",
- "28/28 [==============================] - 0s 951us/step - loss: 0.4754 - mse: 0.6313\n",
- "Epoch 544/1400\n",
- "28/28 [==============================] - 0s 891us/step - loss: 0.4635 - mse: 0.6240\n",
- "Epoch 545/1400\n",
- "28/28 [==============================] - 0s 969us/step - loss: 0.4754 - mse: 0.6221\n",
- "Epoch 546/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4670 - mse: 0.6232\n",
- "Epoch 547/1400\n",
- "28/28 [==============================] - 0s 923us/step - loss: 0.4818 - mse: 0.6341\n",
- "Epoch 548/1400\n",
- "28/28 [==============================] - 0s 868us/step - loss: 0.4804 - mse: 0.6398\n",
- "Epoch 549/1400\n",
- "28/28 [==============================] - 0s 924us/step - loss: 0.4873 - mse: 0.6341\n",
- "Epoch 550/1400\n",
- "28/28 [==============================] - 0s 882us/step - loss: 0.4824 - mse: 0.6347\n",
- "Epoch 551/1400\n",
- "28/28 [==============================] - 0s 916us/step - loss: 0.4707 - mse: 0.6236\n",
- "Epoch 552/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4704 - mse: 0.6272\n",
- "Epoch 553/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4713 - mse: 0.6215\n",
- "Epoch 554/1400\n",
- "28/28 [==============================] - 0s 879us/step - loss: 0.5044 - mse: 0.6432\n",
- "Epoch 555/1400\n",
- "28/28 [==============================] - 0s 889us/step - loss: 0.4991 - mse: 0.6497\n",
- "Epoch 556/1400\n",
- "28/28 [==============================] - 0s 921us/step - loss: 0.5137 - mse: 0.6491\n",
- "Epoch 557/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4900 - mse: 0.6452\n",
- "Epoch 558/1400\n",
- "28/28 [==============================] - 0s 910us/step - loss: 0.4614 - mse: 0.6164\n",
- "Epoch 559/1400\n",
- "28/28 [==============================] - 0s 886us/step - loss: 0.4729 - mse: 0.6130\n",
- "Epoch 560/1400\n",
- "28/28 [==============================] - 0s 959us/step - loss: 0.4815 - mse: 0.6266\n",
- "Epoch 561/1400\n",
- "28/28 [==============================] - 0s 902us/step - loss: 0.4902 - mse: 0.6347\n",
- "Epoch 562/1400\n",
- "28/28 [==============================] - 0s 897us/step - loss: 0.4713 - mse: 0.6263\n",
- "Epoch 563/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4608 - mse: 0.6066\n",
- "Epoch 564/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4725 - mse: 0.6212\n",
- "Epoch 565/1400\n",
- "28/28 [==============================] - 0s 949us/step - loss: 0.4683 - mse: 0.6167\n",
- "Epoch 566/1400\n",
- "28/28 [==============================] - 0s 856us/step - loss: 0.4709 - mse: 0.6292\n",
- "Epoch 567/1400\n",
- "28/28 [==============================] - 0s 916us/step - loss: 0.4657 - mse: 0.6168\n",
- "Epoch 568/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4987 - mse: 0.6372\n",
- "Epoch 569/1400\n",
- "28/28 [==============================] - 0s 897us/step - loss: 0.5377 - mse: 0.6868\n",
- "Epoch 570/1400\n",
- "28/28 [==============================] - 0s 898us/step - loss: 0.5071 - mse: 0.6501\n",
- "Epoch 571/1400\n",
- "28/28 [==============================] - 0s 920us/step - loss: 0.5062 - mse: 0.6435\n",
- "Epoch 572/1400\n",
- "28/28 [==============================] - 0s 896us/step - loss: 0.4730 - mse: 0.6166\n",
- "Epoch 573/1400\n",
- "28/28 [==============================] - 0s 932us/step - loss: 0.4675 - mse: 0.6101\n",
- "Epoch 574/1400\n",
- "28/28 [==============================] - 0s 945us/step - loss: 0.4787 - mse: 0.6219\n",
- "Epoch 575/1400\n",
- "28/28 [==============================] - 0s 924us/step - loss: 0.5047 - mse: 0.6448\n",
- "Epoch 576/1400\n",
- "28/28 [==============================] - 0s 945us/step - loss: 0.4654 - mse: 0.6067\n",
- "Epoch 577/1400\n",
- "28/28 [==============================] - 0s 882us/step - loss: 0.4795 - mse: 0.6196\n",
- "Epoch 578/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4832 - mse: 0.6292\n",
- "Epoch 579/1400\n",
- "28/28 [==============================] - 0s 902us/step - loss: 0.4698 - mse: 0.6137\n",
- "Epoch 580/1400\n",
- "28/28 [==============================] - 0s 937us/step - loss: 0.4681 - mse: 0.6104\n",
- "Epoch 581/1400\n",
- "28/28 [==============================] - 0s 921us/step - loss: 0.4807 - mse: 0.6213\n",
- "Epoch 582/1400\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "28/28 [==============================] - 0s 923us/step - loss: 0.4792 - mse: 0.6186\n",
- "Epoch 583/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4618 - mse: 0.6016\n",
- "Epoch 584/1400\n",
- "28/28 [==============================] - 0s 886us/step - loss: 0.4766 - mse: 0.6143\n",
- "Epoch 585/1400\n",
- "28/28 [==============================] - 0s 915us/step - loss: 0.4588 - mse: 0.6048\n",
- "Epoch 586/1400\n",
- "28/28 [==============================] - 0s 914us/step - loss: 0.4710 - mse: 0.6136\n",
- "Epoch 587/1400\n",
- "28/28 [==============================] - 0s 902us/step - loss: 0.4535 - mse: 0.6020\n",
- "Epoch 588/1400\n",
- "28/28 [==============================] - 0s 957us/step - loss: 0.4675 - mse: 0.6140\n",
- "Epoch 589/1400\n",
- "28/28 [==============================] - 0s 871us/step - loss: 0.4876 - mse: 0.6307\n",
- "Epoch 590/1400\n",
- "28/28 [==============================] - 0s 877us/step - loss: 0.4744 - mse: 0.6196\n",
- "Epoch 591/1400\n",
- "28/28 [==============================] - 0s 899us/step - loss: 0.4674 - mse: 0.6014\n",
- "Epoch 592/1400\n",
- "28/28 [==============================] - 0s 969us/step - loss: 0.4614 - mse: 0.5975\n",
- "Epoch 593/1400\n",
- "28/28 [==============================] - 0s 927us/step - loss: 0.4854 - mse: 0.6204\n",
- "Epoch 594/1400\n",
- "28/28 [==============================] - 0s 923us/step - loss: 0.4662 - mse: 0.5941\n",
- "Epoch 595/1400\n",
- "28/28 [==============================] - 0s 941us/step - loss: 0.4700 - mse: 0.6068\n",
- "Epoch 596/1400\n",
- "28/28 [==============================] - 0s 1000us/step - loss: 0.4649 - mse: 0.6020\n",
- "Epoch 597/1400\n",
- "28/28 [==============================] - 0s 864us/step - loss: 0.4862 - mse: 0.6265\n",
- "Epoch 598/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4706 - mse: 0.6080\n",
- "Epoch 599/1400\n",
- "28/28 [==============================] - 0s 997us/step - loss: 0.4583 - mse: 0.5924\n",
- "Epoch 600/1400\n",
- "28/28 [==============================] - 0s 903us/step - loss: 0.4819 - mse: 0.6118\n",
- "Epoch 601/1400\n",
- "28/28 [==============================] - 0s 891us/step - loss: 0.4659 - mse: 0.5882\n",
- "Epoch 602/1400\n",
- "28/28 [==============================] - 0s 913us/step - loss: 0.4627 - mse: 0.5903\n",
- "Epoch 603/1400\n",
- "28/28 [==============================] - 0s 916us/step - loss: 0.4601 - mse: 0.5840\n",
- "Epoch 604/1400\n",
- "28/28 [==============================] - 0s 899us/step - loss: 0.5240 - mse: 0.6588\n",
- "Epoch 605/1400\n",
- "28/28 [==============================] - 0s 906us/step - loss: 0.4690 - mse: 0.5944\n",
- "Epoch 606/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.4476 - mse: 0.5822\n",
- "Epoch 607/1400\n",
- "28/28 [==============================] - 0s 883us/step - loss: 0.4720 - mse: 0.6025\n",
- "Epoch 608/1400\n",
- "28/28 [==============================] - 0s 934us/step - loss: 0.4604 - mse: 0.5962\n",
- "Epoch 609/1400\n",
- "28/28 [==============================] - 0s 882us/step - loss: 0.4908 - mse: 0.6101\n",
- "Epoch 610/1400\n",
- "28/28 [==============================] - 0s 890us/step - loss: 0.4594 - mse: 0.5817\n",
- "Epoch 611/1400\n",
- "28/28 [==============================] - 0s 924us/step - loss: 0.5178 - mse: 0.6271\n",
- "Epoch 612/1400\n",
- "28/28 [==============================] - 0s 975us/step - loss: 0.4754 - mse: 0.5984\n",
- "Epoch 613/1400\n",
- "28/28 [==============================] - 0s 867us/step - loss: 0.4641 - mse: 0.5884\n",
- "Epoch 614/1400\n",
- "28/28 [==============================] - 0s 863us/step - loss: 0.4577 - mse: 0.5802\n",
- "Epoch 615/1400\n",
- "28/28 [==============================] - 0s 906us/step - loss: 0.4613 - mse: 0.5965\n",
- "Epoch 616/1400\n",
- "28/28 [==============================] - 0s 957us/step - loss: 0.4775 - mse: 0.5921\n",
- "Epoch 617/1400\n",
- "28/28 [==============================] - 0s 959us/step - loss: 0.4595 - mse: 0.5867\n",
- "Epoch 618/1400\n",
- "28/28 [==============================] - 0s 858us/step - loss: 0.4492 - mse: 0.5747\n",
- "Epoch 619/1400\n",
- "28/28 [==============================] - 0s 909us/step - loss: 0.4542 - mse: 0.5697\n",
- "Epoch 620/1400\n",
- "28/28 [==============================] - 0s 921us/step - loss: 0.4643 - mse: 0.5819\n",
- "Epoch 621/1400\n",
- "28/28 [==============================] - 0s 918us/step - loss: 0.4518 - mse: 0.5770\n",
- "Epoch 622/1400\n",
- "28/28 [==============================] - 0s 861us/step - loss: 0.4575 - mse: 0.5792\n",
- "Epoch 623/1400\n",
- "28/28 [==============================] - 0s 895us/step - loss: 0.4706 - mse: 0.5944\n",
- "Epoch 624/1400\n",
- "28/28 [==============================] - 0s 861us/step - loss: 0.4584 - mse: 0.5802\n",
- "Epoch 625/1400\n",
- "28/28 [==============================] - 0s 982us/step - loss: 0.4546 - mse: 0.5836\n",
- "Epoch 626/1400\n",
- "28/28 [==============================] - 0s 953us/step - loss: 0.4595 - mse: 0.5888\n",
- "Epoch 627/1400\n",
- "28/28 [==============================] - 0s 915us/step - loss: 0.4481 - mse: 0.5749\n",
- "Epoch 628/1400\n",
- "28/28 [==============================] - 0s 981us/step - loss: 0.4643 - mse: 0.5815\n",
- "Epoch 629/1400\n",
- "28/28 [==============================] - 0s 928us/step - loss: 0.4424 - mse: 0.5656\n",
- "Epoch 630/1400\n",
- "28/28 [==============================] - 0s 864us/step - loss: 0.4713 - mse: 0.5965\n",
- "Epoch 631/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.4910 - mse: 0.6024\n",
- "Epoch 632/1400\n",
- "28/28 [==============================] - 0s 932us/step - loss: 0.4889 - mse: 0.6103\n",
- "Epoch 633/1400\n",
- "28/28 [==============================] - 0s 928us/step - loss: 0.4615 - mse: 0.5835\n",
- "Epoch 634/1400\n",
- "28/28 [==============================] - 0s 954us/step - loss: 0.4564 - mse: 0.5702\n",
- "Epoch 635/1400\n",
- "28/28 [==============================] - 0s 983us/step - loss: 0.4574 - mse: 0.5680\n",
- "Epoch 636/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4545 - mse: 0.5703\n",
- "Epoch 637/1400\n",
- "28/28 [==============================] - 0s 875us/step - loss: 0.4541 - mse: 0.5563\n",
- "Epoch 638/1400\n",
- "28/28 [==============================] - 0s 945us/step - loss: 0.4567 - mse: 0.5640\n",
- "Epoch 639/1400\n",
- "28/28 [==============================] - 0s 966us/step - loss: 0.4481 - mse: 0.5524\n",
- "Epoch 640/1400\n",
- "28/28 [==============================] - 0s 937us/step - loss: 0.4516 - mse: 0.5677\n",
- "Epoch 641/1400\n",
- "28/28 [==============================] - 0s 893us/step - loss: 0.4531 - mse: 0.5664\n",
- "Epoch 642/1400\n",
- "28/28 [==============================] - 0s 948us/step - loss: 0.4689 - mse: 0.5877\n",
- "Epoch 643/1400\n",
- "28/28 [==============================] - 0s 940us/step - loss: 0.4749 - mse: 0.5781\n",
- "Epoch 644/1400\n",
- "28/28 [==============================] - 0s 933us/step - loss: 0.4594 - mse: 0.5723\n",
- "Epoch 645/1400\n",
- "28/28 [==============================] - 0s 979us/step - loss: 0.4636 - mse: 0.5654\n",
- "Epoch 646/1400\n",
- "28/28 [==============================] - 0s 937us/step - loss: 0.4405 - mse: 0.5480\n",
- "Epoch 647/1400\n",
- "28/28 [==============================] - 0s 934us/step - loss: 0.4550 - mse: 0.5596\n",
- "Epoch 648/1400\n",
- "28/28 [==============================] - 0s 882us/step - loss: 0.4684 - mse: 0.5714\n",
- "Epoch 649/1400\n",
- "28/28 [==============================] - 0s 952us/step - loss: 0.4565 - mse: 0.5531\n",
- "Epoch 650/1400\n",
- "28/28 [==============================] - 0s 905us/step - loss: 0.4910 - mse: 0.6017\n",
- "Epoch 651/1400\n",
- "28/28 [==============================] - 0s 891us/step - loss: 0.4403 - mse: 0.5485\n",
- "Epoch 652/1400\n",
- "28/28 [==============================] - 0s 968us/step - loss: 0.4410 - mse: 0.5486\n",
- "Epoch 653/1400\n",
- "28/28 [==============================] - 0s 879us/step - loss: 0.4452 - mse: 0.5415\n",
- "Epoch 654/1400\n",
- "28/28 [==============================] - 0s 906us/step - loss: 0.4406 - mse: 0.5452\n",
- "Epoch 655/1400\n",
- "28/28 [==============================] - 0s 948us/step - loss: 0.4734 - mse: 0.5685\n",
- "Epoch 656/1400\n",
- "28/28 [==============================] - 0s 923us/step - loss: 0.4760 - mse: 0.5701\n",
- "Epoch 657/1400\n",
- "28/28 [==============================] - 0s 890us/step - loss: 0.4409 - mse: 0.5441\n",
- "Epoch 658/1400\n",
- "28/28 [==============================] - 0s 967us/step - loss: 0.4567 - mse: 0.5615\n",
- "Epoch 659/1400\n",
- "28/28 [==============================] - 0s 907us/step - loss: 0.4610 - mse: 0.5629\n",
- "Epoch 660/1400\n",
- "28/28 [==============================] - 0s 873us/step - loss: 0.4451 - mse: 0.5474\n",
- "Epoch 661/1400\n",
- "28/28 [==============================] - 0s 937us/step - loss: 0.4481 - mse: 0.5442\n",
- "Epoch 662/1400\n",
- "28/28 [==============================] - 0s 911us/step - loss: 0.4720 - mse: 0.5707\n",
- "Epoch 663/1400\n",
- "28/28 [==============================] - 0s 932us/step - loss: 0.4416 - mse: 0.5446\n",
- "Epoch 664/1400\n",
- "28/28 [==============================] - 0s 971us/step - loss: 0.4562 - mse: 0.5519\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 665/1400\n",
- "28/28 [==============================] - 0s 899us/step - loss: 0.4542 - mse: 0.5524\n",
- "Epoch 666/1400\n",
- "28/28 [==============================] - 0s 992us/step - loss: 0.4650 - mse: 0.5553\n",
- "Epoch 667/1400\n",
- "28/28 [==============================] - 0s 927us/step - loss: 0.4482 - mse: 0.5478\n",
- "Epoch 668/1400\n",
- "28/28 [==============================] - 0s 903us/step - loss: 0.4526 - mse: 0.5480\n",
- "Epoch 669/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4359 - mse: 0.5365\n",
- "Epoch 670/1400\n",
- "28/28 [==============================] - 0s 966us/step - loss: 0.4452 - mse: 0.5394\n",
- "Epoch 671/1400\n",
- "28/28 [==============================] - 0s 872us/step - loss: 0.4657 - mse: 0.5648\n",
- "Epoch 672/1400\n",
- "28/28 [==============================] - 0s 906us/step - loss: 0.4500 - mse: 0.5450\n",
- "Epoch 673/1400\n",
- "28/28 [==============================] - 0s 914us/step - loss: 0.4561 - mse: 0.5572\n",
- "Epoch 674/1400\n",
- "28/28 [==============================] - 0s 898us/step - loss: 0.4665 - mse: 0.5659\n",
- "Epoch 675/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4559 - mse: 0.5422\n",
- "Epoch 676/1400\n",
- "28/28 [==============================] - 0s 932us/step - loss: 0.5283 - mse: 0.6371\n",
- "Epoch 677/1400\n",
- "28/28 [==============================] - 0s 891us/step - loss: 0.4419 - mse: 0.5238\n",
- "Epoch 678/1400\n",
- "28/28 [==============================] - 0s 931us/step - loss: 0.4289 - mse: 0.5186\n",
- "Epoch 679/1400\n",
- "28/28 [==============================] - 0s 933us/step - loss: 0.4454 - mse: 0.5395\n",
- "Epoch 680/1400\n",
- "28/28 [==============================] - 0s 873us/step - loss: 0.4494 - mse: 0.5461\n",
- "Epoch 681/1400\n",
- "28/28 [==============================] - 0s 910us/step - loss: 0.4359 - mse: 0.5310\n",
- "Epoch 682/1400\n",
- "28/28 [==============================] - 0s 901us/step - loss: 0.4466 - mse: 0.5397\n",
- "Epoch 683/1400\n",
- "28/28 [==============================] - 0s 927us/step - loss: 0.4470 - mse: 0.5321\n",
- "Epoch 684/1400\n",
- "28/28 [==============================] - 0s 852us/step - loss: 0.4337 - mse: 0.5208\n",
- "Epoch 685/1400\n",
- "28/28 [==============================] - 0s 910us/step - loss: 0.4968 - mse: 0.5848\n",
- "Epoch 686/1400\n",
- "28/28 [==============================] - 0s 906us/step - loss: 0.4645 - mse: 0.5429\n",
- "Epoch 687/1400\n",
- "28/28 [==============================] - 0s 900us/step - loss: 0.4461 - mse: 0.5323\n",
- "Epoch 688/1400\n",
- "28/28 [==============================] - 0s 886us/step - loss: 0.4330 - mse: 0.5182\n",
- "Epoch 689/1400\n",
- "28/28 [==============================] - 0s 966us/step - loss: 0.4344 - mse: 0.5237\n",
- "Epoch 690/1400\n",
- "28/28 [==============================] - 0s 919us/step - loss: 0.4296 - mse: 0.5176\n",
- "Epoch 691/1400\n",
- "28/28 [==============================] - 0s 930us/step - loss: 0.4536 - mse: 0.5270\n",
- "Epoch 692/1400\n",
- "28/28 [==============================] - 0s 891us/step - loss: 0.4624 - mse: 0.5404\n",
- "Epoch 693/1400\n",
- "28/28 [==============================] - 0s 894us/step - loss: 0.4269 - mse: 0.5130\n",
- "Epoch 694/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4492 - mse: 0.5305\n",
- "Epoch 695/1400\n",
- "28/28 [==============================] - 0s 884us/step - loss: 0.4423 - mse: 0.5195\n",
- "Epoch 696/1400\n",
- "28/28 [==============================] - 0s 881us/step - loss: 0.4407 - mse: 0.5178\n",
- "Epoch 697/1400\n",
- "28/28 [==============================] - 0s 931us/step - loss: 0.4491 - mse: 0.5268\n",
- "Epoch 698/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4402 - mse: 0.5272\n",
- "Epoch 699/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4283 - mse: 0.5170\n",
- "Epoch 700/1400\n",
- "28/28 [==============================] - 0s 922us/step - loss: 0.4266 - mse: 0.5020\n",
- "Epoch 701/1400\n",
- "28/28 [==============================] - 0s 952us/step - loss: 0.4286 - mse: 0.5110\n",
- "Epoch 702/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4361 - mse: 0.5218\n",
- "Epoch 703/1400\n",
- "28/28 [==============================] - 0s 961us/step - loss: 0.4248 - mse: 0.5088\n",
- "Epoch 704/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4355 - mse: 0.5162\n",
- "Epoch 705/1400\n",
- "28/28 [==============================] - 0s 901us/step - loss: 0.4529 - mse: 0.5315\n",
- "Epoch 706/1400\n",
- "28/28 [==============================] - 0s 2ms/step - loss: 0.4256 - mse: 0.4998\n",
- "Epoch 707/1400\n",
- "28/28 [==============================] - 0s 953us/step - loss: 0.4239 - mse: 0.5094\n",
- "Epoch 708/1400\n",
- "28/28 [==============================] - 0s 892us/step - loss: 0.4504 - mse: 0.5272\n",
- "Epoch 709/1400\n",
- "28/28 [==============================] - 0s 978us/step - loss: 0.4250 - mse: 0.5053\n",
- "Epoch 710/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4256 - mse: 0.5079\n",
- "Epoch 711/1400\n",
- "28/28 [==============================] - 0s 940us/step - loss: 0.4146 - mse: 0.4980\n",
- "Epoch 712/1400\n",
- "28/28 [==============================] - 0s 901us/step - loss: 0.4172 - mse: 0.5024\n",
- "Epoch 713/1400\n",
- "28/28 [==============================] - 0s 914us/step - loss: 0.4410 - mse: 0.5198\n",
- "Epoch 714/1400\n",
- "28/28 [==============================] - 0s 973us/step - loss: 0.4293 - mse: 0.5072\n",
- "Epoch 715/1400\n",
- "28/28 [==============================] - 0s 894us/step - loss: 0.4394 - mse: 0.5119\n",
- "Epoch 716/1400\n",
- "28/28 [==============================] - 0s 906us/step - loss: 0.4433 - mse: 0.5067\n",
- "Epoch 717/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4510 - mse: 0.5104\n",
- "Epoch 718/1400\n",
- "28/28 [==============================] - 0s 934us/step - loss: 0.4468 - mse: 0.5176\n",
- "Epoch 719/1400\n",
- "28/28 [==============================] - 0s 900us/step - loss: 0.4315 - mse: 0.5014\n",
- "Epoch 720/1400\n",
- "28/28 [==============================] - 0s 985us/step - loss: 0.4489 - mse: 0.5276\n",
- "Epoch 721/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4283 - mse: 0.5066\n",
- "Epoch 722/1400\n",
- "28/28 [==============================] - 0s 947us/step - loss: 0.4600 - mse: 0.5288\n",
- "Epoch 723/1400\n",
- "28/28 [==============================] - 0s 922us/step - loss: 0.4507 - mse: 0.5198\n",
- "Epoch 724/1400\n",
- "28/28 [==============================] - 0s 968us/step - loss: 0.4468 - mse: 0.5128\n",
- "Epoch 725/1400\n",
- "28/28 [==============================] - 0s 893us/step - loss: 0.4281 - mse: 0.4918\n",
- "Epoch 726/1400\n",
- "28/28 [==============================] - 0s 871us/step - loss: 0.4249 - mse: 0.4934\n",
- "Epoch 727/1400\n",
- "28/28 [==============================] - 0s 977us/step - loss: 0.4306 - mse: 0.5026\n",
- "Epoch 728/1400\n",
- "28/28 [==============================] - 0s 882us/step - loss: 0.4348 - mse: 0.4995\n",
- "Epoch 729/1400\n",
- "28/28 [==============================] - 0s 961us/step - loss: 0.4344 - mse: 0.5037\n",
- "Epoch 730/1400\n",
- "28/28 [==============================] - 0s 964us/step - loss: 0.4428 - mse: 0.5151\n",
- "Epoch 731/1400\n",
- "28/28 [==============================] - 0s 903us/step - loss: 0.4249 - mse: 0.4927\n",
- "Epoch 732/1400\n",
- "28/28 [==============================] - 0s 905us/step - loss: 0.4250 - mse: 0.4915\n",
- "Epoch 733/1400\n",
- "28/28 [==============================] - 0s 995us/step - loss: 0.4280 - mse: 0.4965\n",
- "Epoch 734/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4196 - mse: 0.4797\n",
- "Epoch 735/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4067 - mse: 0.4688\n",
- "Epoch 736/1400\n",
- "28/28 [==============================] - 0s 955us/step - loss: 0.4191 - mse: 0.4898\n",
- "Epoch 737/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4237 - mse: 0.4995\n",
- "Epoch 738/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4311 - mse: 0.4941\n",
- "Epoch 739/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4631 - mse: 0.5267\n",
- "Epoch 740/1400\n",
- "28/28 [==============================] - 0s 959us/step - loss: 0.4486 - mse: 0.5110\n",
- "Epoch 741/1400\n",
- "28/28 [==============================] - 0s 973us/step - loss: 0.4301 - mse: 0.4929\n",
- "Epoch 742/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4154 - mse: 0.4784\n",
- "Epoch 743/1400\n",
- "28/28 [==============================] - 0s 936us/step - loss: 0.4090 - mse: 0.4789\n",
- "Epoch 744/1400\n",
- "28/28 [==============================] - 0s 890us/step - loss: 0.4231 - mse: 0.4927\n",
- "Epoch 745/1400\n",
- "28/28 [==============================] - 0s 940us/step - loss: 0.4141 - mse: 0.4798\n",
- "Epoch 746/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4207 - mse: 0.4852\n",
- "Epoch 747/1400\n",
- "28/28 [==============================] - 0s 979us/step - loss: 0.4147 - mse: 0.4743\n",
- "Epoch 748/1400\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "28/28 [==============================] - 0s 939us/step - loss: 0.4246 - mse: 0.4844\n",
- "Epoch 749/1400\n",
- "28/28 [==============================] - 0s 900us/step - loss: 0.4250 - mse: 0.4850\n",
- "Epoch 750/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4131 - mse: 0.4758\n",
- "Epoch 751/1400\n",
- "28/28 [==============================] - 0s 900us/step - loss: 0.4186 - mse: 0.4792\n",
- "Epoch 752/1400\n",
- "28/28 [==============================] - 0s 894us/step - loss: 0.4270 - mse: 0.4960\n",
- "Epoch 753/1400\n",
- "28/28 [==============================] - 0s 864us/step - loss: 0.4326 - mse: 0.4936\n",
- "Epoch 754/1400\n",
- "28/28 [==============================] - 0s 923us/step - loss: 0.4293 - mse: 0.4900\n",
- "Epoch 755/1400\n",
- "28/28 [==============================] - 0s 958us/step - loss: 0.4236 - mse: 0.4810\n",
- "Epoch 756/1400\n",
- "28/28 [==============================] - 0s 873us/step - loss: 0.4222 - mse: 0.4749\n",
- "Epoch 757/1400\n",
- "28/28 [==============================] - 0s 929us/step - loss: 0.4420 - mse: 0.4967\n",
- "Epoch 758/1400\n",
- "28/28 [==============================] - 0s 952us/step - loss: 0.4383 - mse: 0.5004\n",
- "Epoch 759/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4265 - mse: 0.4788\n",
- "Epoch 760/1400\n",
- "28/28 [==============================] - 0s 942us/step - loss: 0.4319 - mse: 0.4857\n",
- "Epoch 761/1400\n",
- "28/28 [==============================] - 0s 964us/step - loss: 0.4709 - mse: 0.5254\n",
- "Epoch 762/1400\n",
- "28/28 [==============================] - 0s 932us/step - loss: 0.4228 - mse: 0.4785\n",
- "Epoch 763/1400\n",
- "28/28 [==============================] - 0s 877us/step - loss: 0.4086 - mse: 0.4680\n",
- "Epoch 764/1400\n",
- "28/28 [==============================] - 0s 935us/step - loss: 0.4139 - mse: 0.4750\n",
- "Epoch 765/1400\n",
- "28/28 [==============================] - 0s 890us/step - loss: 0.4182 - mse: 0.4750\n",
- "Epoch 766/1400\n",
- "28/28 [==============================] - 0s 964us/step - loss: 0.4248 - mse: 0.4955\n",
- "Epoch 767/1400\n",
- "28/28 [==============================] - 0s 989us/step - loss: 0.4226 - mse: 0.4827\n",
- "Epoch 768/1400\n",
- "28/28 [==============================] - 0s 882us/step - loss: 0.4174 - mse: 0.4708\n",
- "Epoch 769/1400\n",
- "28/28 [==============================] - 0s 901us/step - loss: 0.4233 - mse: 0.4772\n",
- "Epoch 770/1400\n",
- "28/28 [==============================] - 0s 961us/step - loss: 0.4176 - mse: 0.4744\n",
- "Epoch 771/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4051 - mse: 0.4610\n",
- "Epoch 772/1400\n",
- "28/28 [==============================] - 0s 866us/step - loss: 0.4207 - mse: 0.4728\n",
- "Epoch 773/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4109 - mse: 0.4643\n",
- "Epoch 774/1400\n",
- "28/28 [==============================] - 0s 880us/step - loss: 0.4299 - mse: 0.4850\n",
- "Epoch 775/1400\n",
- "28/28 [==============================] - 0s 925us/step - loss: 0.4198 - mse: 0.4775\n",
- "Epoch 776/1400\n",
- "28/28 [==============================] - 0s 976us/step - loss: 0.4346 - mse: 0.4888\n",
- "Epoch 777/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4236 - mse: 0.4772\n",
- "Epoch 778/1400\n",
- "28/28 [==============================] - 0s 934us/step - loss: 0.4257 - mse: 0.4846\n",
- "Epoch 779/1400\n",
- "28/28 [==============================] - 0s 972us/step - loss: 0.4405 - mse: 0.4932\n",
- "Epoch 780/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4133 - mse: 0.4649\n",
- "Epoch 781/1400\n",
- "28/28 [==============================] - 0s 916us/step - loss: 0.4093 - mse: 0.4607\n",
- "Epoch 782/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.4126 - mse: 0.4610\n",
- "Epoch 783/1400\n",
- "28/28 [==============================] - 0s 871us/step - loss: 0.4258 - mse: 0.4660\n",
- "Epoch 784/1400\n",
- "28/28 [==============================] - 0s 906us/step - loss: 0.4280 - mse: 0.4762\n",
- "Epoch 785/1400\n",
- "28/28 [==============================] - 0s 899us/step - loss: 0.4522 - mse: 0.5037\n",
- "Epoch 786/1400\n",
- "28/28 [==============================] - 0s 939us/step - loss: 0.4606 - mse: 0.5150\n",
- "Epoch 787/1400\n",
- "28/28 [==============================] - 0s 928us/step - loss: 0.4063 - mse: 0.4598\n",
- "Epoch 788/1400\n",
- "28/28 [==============================] - 0s 890us/step - loss: 0.4241 - mse: 0.4738\n",
- "Epoch 789/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4232 - mse: 0.4685\n",
- "Epoch 790/1400\n",
- "28/28 [==============================] - 0s 889us/step - loss: 0.4192 - mse: 0.4748\n",
- "Epoch 791/1400\n",
- "28/28 [==============================] - 0s 884us/step - loss: 0.4174 - mse: 0.4636\n",
- "Epoch 792/1400\n",
- "28/28 [==============================] - 0s 969us/step - loss: 0.4432 - mse: 0.5027\n",
- "Epoch 793/1400\n",
- "28/28 [==============================] - 0s 936us/step - loss: 0.4336 - mse: 0.4784\n",
- "Epoch 794/1400\n",
- "28/28 [==============================] - 0s 900us/step - loss: 0.4172 - mse: 0.4586\n",
- "Epoch 795/1400\n",
- "28/28 [==============================] - 0s 883us/step - loss: 0.4067 - mse: 0.4537\n",
- "Epoch 796/1400\n",
- "28/28 [==============================] - 0s 945us/step - loss: 0.4030 - mse: 0.4504\n",
- "Epoch 797/1400\n",
- "28/28 [==============================] - 0s 971us/step - loss: 0.4173 - mse: 0.4672\n",
- "Epoch 798/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4061 - mse: 0.4533\n",
- "Epoch 799/1400\n",
- "28/28 [==============================] - 0s 918us/step - loss: 0.4112 - mse: 0.4568\n",
- "Epoch 800/1400\n",
- "28/28 [==============================] - 0s 965us/step - loss: 0.4178 - mse: 0.4596\n",
- "Epoch 801/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4079 - mse: 0.4517\n",
- "Epoch 802/1400\n",
- "28/28 [==============================] - 0s 955us/step - loss: 0.3971 - mse: 0.4494\n",
- "Epoch 803/1400\n",
- "28/28 [==============================] - 0s 912us/step - loss: 0.4181 - mse: 0.4593\n",
- "Epoch 804/1400\n",
- "28/28 [==============================] - 0s 940us/step - loss: 0.4115 - mse: 0.4685\n",
- "Epoch 805/1400\n",
- "28/28 [==============================] - 0s 932us/step - loss: 0.4073 - mse: 0.4512\n",
- "Epoch 806/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4216 - mse: 0.4657\n",
- "Epoch 807/1400\n",
- "28/28 [==============================] - 0s 892us/step - loss: 0.4040 - mse: 0.4548\n",
- "Epoch 808/1400\n",
- "28/28 [==============================] - 0s 959us/step - loss: 0.4195 - mse: 0.4597\n",
- "Epoch 809/1400\n",
- "28/28 [==============================] - 0s 973us/step - loss: 0.4049 - mse: 0.4401\n",
- "Epoch 810/1400\n",
- "28/28 [==============================] - 0s 882us/step - loss: 0.4019 - mse: 0.4440\n",
- "Epoch 811/1400\n",
- "28/28 [==============================] - 0s 950us/step - loss: 0.4102 - mse: 0.4521\n",
- "Epoch 812/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4159 - mse: 0.4527\n",
- "Epoch 813/1400\n",
- "28/28 [==============================] - 0s 911us/step - loss: 0.4317 - mse: 0.4675\n",
- "Epoch 814/1400\n",
- "28/28 [==============================] - 0s 879us/step - loss: 0.4151 - mse: 0.4636\n",
- "Epoch 815/1400\n",
- "28/28 [==============================] - 0s 919us/step - loss: 0.3944 - mse: 0.4431\n",
- "Epoch 816/1400\n",
- "28/28 [==============================] - 0s 864us/step - loss: 0.4022 - mse: 0.4403\n",
- "Epoch 817/1400\n",
- "28/28 [==============================] - 0s 955us/step - loss: 0.4040 - mse: 0.4500\n",
- "Epoch 818/1400\n",
- "28/28 [==============================] - 0s 928us/step - loss: 0.4012 - mse: 0.4419\n",
- "Epoch 819/1400\n",
- "28/28 [==============================] - 0s 943us/step - loss: 0.4089 - mse: 0.4498\n",
- "Epoch 820/1400\n",
- "28/28 [==============================] - 0s 947us/step - loss: 0.4076 - mse: 0.4617\n",
- "Epoch 821/1400\n",
- "28/28 [==============================] - 0s 914us/step - loss: 0.4440 - mse: 0.4869\n",
- "Epoch 822/1400\n",
- "28/28 [==============================] - 0s 925us/step - loss: 0.4014 - mse: 0.4428\n",
- "Epoch 823/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4052 - mse: 0.4527\n",
- "Epoch 824/1400\n",
- "28/28 [==============================] - 0s 900us/step - loss: 0.4153 - mse: 0.4585\n",
- "Epoch 825/1400\n",
- "28/28 [==============================] - 0s 907us/step - loss: 0.4179 - mse: 0.4600\n",
- "Epoch 826/1400\n",
- "28/28 [==============================] - 0s 972us/step - loss: 0.4163 - mse: 0.4500\n",
- "Epoch 827/1400\n",
- "28/28 [==============================] - 0s 955us/step - loss: 0.4140 - mse: 0.4586\n",
- "Epoch 828/1400\n",
- "28/28 [==============================] - 0s 963us/step - loss: 0.4266 - mse: 0.4685\n",
- "Epoch 829/1400\n",
- "28/28 [==============================] - 0s 997us/step - loss: 0.3971 - mse: 0.4357\n",
- "Epoch 830/1400\n",
- "28/28 [==============================] - 0s 952us/step - loss: 0.4398 - mse: 0.4716\n",
- "Epoch 831/1400\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "28/28 [==============================] - 0s 935us/step - loss: 0.4226 - mse: 0.4585\n",
- "Epoch 832/1400\n",
- "28/28 [==============================] - 0s 922us/step - loss: 0.4176 - mse: 0.4594\n",
- "Epoch 833/1400\n",
- "28/28 [==============================] - 0s 857us/step - loss: 0.4009 - mse: 0.4416\n",
- "Epoch 834/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3894 - mse: 0.4433\n",
- "Epoch 835/1400\n",
- "28/28 [==============================] - 0s 879us/step - loss: 0.3980 - mse: 0.4450\n",
- "Epoch 836/1400\n",
- "28/28 [==============================] - 0s 888us/step - loss: 0.3891 - mse: 0.4270\n",
- "Epoch 837/1400\n",
- "28/28 [==============================] - 0s 979us/step - loss: 0.3914 - mse: 0.4388\n",
- "Epoch 838/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3977 - mse: 0.4394\n",
- "Epoch 839/1400\n",
- "28/28 [==============================] - 0s 888us/step - loss: 0.4096 - mse: 0.4425\n",
- "Epoch 840/1400\n",
- "28/28 [==============================] - 0s 897us/step - loss: 0.4008 - mse: 0.4438\n",
- "Epoch 841/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3995 - mse: 0.4406\n",
- "Epoch 842/1400\n",
- "28/28 [==============================] - 0s 873us/step - loss: 0.4079 - mse: 0.4478\n",
- "Epoch 843/1400\n",
- "28/28 [==============================] - 0s 886us/step - loss: 0.3963 - mse: 0.4318\n",
- "Epoch 844/1400\n",
- "28/28 [==============================] - 0s 916us/step - loss: 0.4371 - mse: 0.4630\n",
- "Epoch 845/1400\n",
- "28/28 [==============================] - 0s 926us/step - loss: 0.4253 - mse: 0.4558\n",
- "Epoch 846/1400\n",
- "28/28 [==============================] - 0s 902us/step - loss: 0.4116 - mse: 0.4508\n",
- "Epoch 847/1400\n",
- "28/28 [==============================] - 0s 898us/step - loss: 0.4080 - mse: 0.4339\n",
- "Epoch 848/1400\n",
- "28/28 [==============================] - 0s 864us/step - loss: 0.3861 - mse: 0.4253\n",
- "Epoch 849/1400\n",
- "28/28 [==============================] - 0s 938us/step - loss: 0.3871 - mse: 0.4288\n",
- "Epoch 850/1400\n",
- "28/28 [==============================] - 0s 952us/step - loss: 0.4012 - mse: 0.4325\n",
- "Epoch 851/1400\n",
- "28/28 [==============================] - 0s 903us/step - loss: 0.4030 - mse: 0.4467\n",
- "Epoch 852/1400\n",
- "28/28 [==============================] - 0s 865us/step - loss: 0.4052 - mse: 0.4442\n",
- "Epoch 853/1400\n",
- "28/28 [==============================] - 0s 910us/step - loss: 0.4002 - mse: 0.4311\n",
- "Epoch 854/1400\n",
- "28/28 [==============================] - 0s 951us/step - loss: 0.3973 - mse: 0.4403\n",
- "Epoch 855/1400\n",
- "28/28 [==============================] - 0s 893us/step - loss: 0.3943 - mse: 0.4323\n",
- "Epoch 856/1400\n",
- "28/28 [==============================] - 0s 887us/step - loss: 0.4280 - mse: 0.4668\n",
- "Epoch 857/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.4009 - mse: 0.4428\n",
- "Epoch 858/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3920 - mse: 0.4299\n",
- "Epoch 859/1400\n",
- "28/28 [==============================] - 0s 959us/step - loss: 0.3817 - mse: 0.4215\n",
- "Epoch 860/1400\n",
- "28/28 [==============================] - 0s 890us/step - loss: 0.3884 - mse: 0.4304\n",
- "Epoch 861/1400\n",
- "28/28 [==============================] - 0s 960us/step - loss: 0.4010 - mse: 0.4351\n",
- "Epoch 862/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.4008 - mse: 0.4392\n",
- "Epoch 863/1400\n",
- "28/28 [==============================] - 0s 879us/step - loss: 0.4124 - mse: 0.4451\n",
- "Epoch 864/1400\n",
- "28/28 [==============================] - 0s 984us/step - loss: 0.4116 - mse: 0.4507\n",
- "Epoch 865/1400\n",
- "28/28 [==============================] - 0s 899us/step - loss: 0.4166 - mse: 0.4468\n",
- "Epoch 866/1400\n",
- "28/28 [==============================] - 0s 915us/step - loss: 0.4222 - mse: 0.4536\n",
- "Epoch 867/1400\n",
- "28/28 [==============================] - 0s 906us/step - loss: 0.3919 - mse: 0.4252\n",
- "Epoch 868/1400\n",
- "28/28 [==============================] - 0s 909us/step - loss: 0.4066 - mse: 0.4340\n",
- "Epoch 869/1400\n",
- "28/28 [==============================] - 0s 943us/step - loss: 0.3854 - mse: 0.4213\n",
- "Epoch 870/1400\n",
- "28/28 [==============================] - 0s 869us/step - loss: 0.3929 - mse: 0.4267\n",
- "Epoch 871/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3945 - mse: 0.4260\n",
- "Epoch 872/1400\n",
- "28/28 [==============================] - 0s 923us/step - loss: 0.3890 - mse: 0.4261\n",
- "Epoch 873/1400\n",
- "28/28 [==============================] - 0s 910us/step - loss: 0.4009 - mse: 0.4304\n",
- "Epoch 874/1400\n",
- "28/28 [==============================] - 0s 912us/step - loss: 0.3884 - mse: 0.4220\n",
- "Epoch 875/1400\n",
- "28/28 [==============================] - 0s 914us/step - loss: 0.3890 - mse: 0.4251\n",
- "Epoch 876/1400\n",
- "28/28 [==============================] - 0s 2ms/step - loss: 0.3964 - mse: 0.4267\n",
- "Epoch 877/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4024 - mse: 0.4301\n",
- "Epoch 878/1400\n",
- "28/28 [==============================] - 0s 884us/step - loss: 0.4421 - mse: 0.4594\n",
- "Epoch 879/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4058 - mse: 0.4278\n",
- "Epoch 880/1400\n",
- "28/28 [==============================] - 0s 948us/step - loss: 0.4104 - mse: 0.4290\n",
- "Epoch 881/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3987 - mse: 0.4196\n",
- "Epoch 882/1400\n",
- "28/28 [==============================] - 0s 971us/step - loss: 0.3895 - mse: 0.4108\n",
- "Epoch 883/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3973 - mse: 0.4303\n",
- "Epoch 884/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3970 - mse: 0.4251\n",
- "Epoch 885/1400\n",
- "28/28 [==============================] - 0s 928us/step - loss: 0.3879 - mse: 0.4210\n",
- "Epoch 886/1400\n",
- "28/28 [==============================] - 0s 991us/step - loss: 0.3812 - mse: 0.4177\n",
- "Epoch 887/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3828 - mse: 0.4239\n",
- "Epoch 888/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3874 - mse: 0.4153\n",
- "Epoch 889/1400\n",
- "28/28 [==============================] - 0s 918us/step - loss: 0.3938 - mse: 0.4206\n",
- "Epoch 890/1400\n",
- "28/28 [==============================] - 0s 863us/step - loss: 0.4022 - mse: 0.4168\n",
- "Epoch 891/1400\n",
- "28/28 [==============================] - 0s 911us/step - loss: 0.3803 - mse: 0.4070\n",
- "Epoch 892/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4233 - mse: 0.4452\n",
- "Epoch 893/1400\n",
- "28/28 [==============================] - 0s 872us/step - loss: 0.3938 - mse: 0.4206\n",
- "Epoch 894/1400\n",
- "28/28 [==============================] - 0s 926us/step - loss: 0.3926 - mse: 0.4225\n",
- "Epoch 895/1400\n",
- "28/28 [==============================] - 0s 909us/step - loss: 0.4027 - mse: 0.4336\n",
- "Epoch 896/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.3926 - mse: 0.4161\n",
- "Epoch 897/1400\n",
- "28/28 [==============================] - 0s 999us/step - loss: 0.3763 - mse: 0.4089\n",
- "Epoch 898/1400\n",
- "28/28 [==============================] - 0s 950us/step - loss: 0.3885 - mse: 0.4130\n",
- "Epoch 899/1400\n",
- "28/28 [==============================] - 0s 858us/step - loss: 0.4138 - mse: 0.4334\n",
- "Epoch 900/1400\n",
- "28/28 [==============================] - 0s 885us/step - loss: 0.4165 - mse: 0.4415\n",
- "Epoch 901/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.4318 - mse: 0.4606\n",
- "Epoch 902/1400\n",
- "28/28 [==============================] - 0s 890us/step - loss: 0.4320 - mse: 0.4546\n",
- "Epoch 903/1400\n",
- "28/28 [==============================] - 0s 926us/step - loss: 0.4008 - mse: 0.4204\n",
- "Epoch 904/1400\n",
- "28/28 [==============================] - 0s 925us/step - loss: 0.3901 - mse: 0.4090\n",
- "Epoch 905/1400\n",
- "28/28 [==============================] - 0s 920us/step - loss: 0.3820 - mse: 0.4037\n",
- "Epoch 906/1400\n",
- "28/28 [==============================] - 0s 863us/step - loss: 0.3831 - mse: 0.4096\n",
- "Epoch 907/1400\n",
- "28/28 [==============================] - 0s 924us/step - loss: 0.3762 - mse: 0.4010\n",
- "Epoch 908/1400\n",
- "28/28 [==============================] - 0s 912us/step - loss: 0.3868 - mse: 0.4105\n",
- "Epoch 909/1400\n",
- "28/28 [==============================] - 0s 962us/step - loss: 0.3825 - mse: 0.4050\n",
- "Epoch 910/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3820 - mse: 0.4132\n",
- "Epoch 911/1400\n",
- "28/28 [==============================] - 0s 910us/step - loss: 0.3809 - mse: 0.4096\n",
- "Epoch 912/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3780 - mse: 0.4162\n",
- "Epoch 913/1400\n",
- "28/28 [==============================] - 0s 975us/step - loss: 0.3782 - mse: 0.4003\n",
- "Epoch 914/1400\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "28/28 [==============================] - 0s 948us/step - loss: 0.3969 - mse: 0.4186\n",
- "Epoch 915/1400\n",
- "28/28 [==============================] - 0s 973us/step - loss: 0.4033 - mse: 0.4267\n",
- "Epoch 916/1400\n",
- "28/28 [==============================] - 0s 919us/step - loss: 0.3879 - mse: 0.4131\n",
- "Epoch 917/1400\n",
- "28/28 [==============================] - 0s 902us/step - loss: 0.3904 - mse: 0.4156\n",
- "Epoch 918/1400\n",
- "28/28 [==============================] - 0s 871us/step - loss: 0.3902 - mse: 0.4144\n",
- "Epoch 919/1400\n",
- "28/28 [==============================] - 0s 975us/step - loss: 0.3837 - mse: 0.4134\n",
- "Epoch 920/1400\n",
- "28/28 [==============================] - 0s 984us/step - loss: 0.3850 - mse: 0.4105\n",
- "Epoch 921/1400\n",
- "28/28 [==============================] - 0s 865us/step - loss: 0.4145 - mse: 0.4324\n",
- "Epoch 922/1400\n",
- "28/28 [==============================] - 0s 870us/step - loss: 0.3828 - mse: 0.4017\n",
- "Epoch 923/1400\n",
- "28/28 [==============================] - 0s 859us/step - loss: 0.3846 - mse: 0.4081\n",
- "Epoch 924/1400\n",
- "28/28 [==============================] - 0s 941us/step - loss: 0.3916 - mse: 0.4148\n",
- "Epoch 925/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.3785 - mse: 0.4106\n",
- "Epoch 926/1400\n",
- "28/28 [==============================] - 0s 931us/step - loss: 0.3743 - mse: 0.4017\n",
- "Epoch 927/1400\n",
- "28/28 [==============================] - 0s 865us/step - loss: 0.3925 - mse: 0.4127\n",
- "Epoch 928/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3863 - mse: 0.4100\n",
- "Epoch 929/1400\n",
- "28/28 [==============================] - 0s 986us/step - loss: 0.3975 - mse: 0.4211\n",
- "Epoch 930/1400\n",
- "28/28 [==============================] - 0s 912us/step - loss: 0.4066 - mse: 0.4288\n",
- "Epoch 931/1400\n",
- "28/28 [==============================] - 0s 860us/step - loss: 0.3748 - mse: 0.4026\n",
- "Epoch 932/1400\n",
- "28/28 [==============================] - 0s 914us/step - loss: 0.4004 - mse: 0.4190\n",
- "Epoch 933/1400\n",
- "28/28 [==============================] - 0s 992us/step - loss: 0.3828 - mse: 0.4111\n",
- "Epoch 934/1400\n",
- "28/28 [==============================] - 0s 932us/step - loss: 0.3741 - mse: 0.4016\n",
- "Epoch 935/1400\n",
- "28/28 [==============================] - 0s 930us/step - loss: 0.3709 - mse: 0.4045\n",
- "Epoch 936/1400\n",
- "28/28 [==============================] - 0s 874us/step - loss: 0.3916 - mse: 0.4165\n",
- "Epoch 937/1400\n",
- "28/28 [==============================] - 0s 887us/step - loss: 0.3907 - mse: 0.4086\n",
- "Epoch 938/1400\n",
- "28/28 [==============================] - 0s 974us/step - loss: 0.3796 - mse: 0.3966\n",
- "Epoch 939/1400\n",
- "28/28 [==============================] - 0s 982us/step - loss: 0.3892 - mse: 0.4089\n",
- "Epoch 940/1400\n",
- "28/28 [==============================] - 0s 863us/step - loss: 0.4153 - mse: 0.4305\n",
- "Epoch 941/1400\n",
- "28/28 [==============================] - 0s 886us/step - loss: 0.4200 - mse: 0.4353\n",
- "Epoch 942/1400\n",
- "28/28 [==============================] - 0s 954us/step - loss: 0.4030 - mse: 0.4176\n",
- "Epoch 943/1400\n",
- "28/28 [==============================] - 0s 885us/step - loss: 0.3792 - mse: 0.4022\n",
- "Epoch 944/1400\n",
- "28/28 [==============================] - 0s 897us/step - loss: 0.3738 - mse: 0.4008\n",
- "Epoch 945/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3715 - mse: 0.3982\n",
- "Epoch 946/1400\n",
- "28/28 [==============================] - 0s 880us/step - loss: 0.3810 - mse: 0.3988\n",
- "Epoch 947/1400\n",
- "28/28 [==============================] - 0s 851us/step - loss: 0.3707 - mse: 0.3894\n",
- "Epoch 948/1400\n",
- "28/28 [==============================] - 0s 966us/step - loss: 0.3774 - mse: 0.3937\n",
- "Epoch 949/1400\n",
- "28/28 [==============================] - 0s 888us/step - loss: 0.3806 - mse: 0.3957\n",
- "Epoch 950/1400\n",
- "28/28 [==============================] - 0s 906us/step - loss: 0.3970 - mse: 0.4186\n",
- "Epoch 951/1400\n",
- "28/28 [==============================] - 0s 926us/step - loss: 0.3992 - mse: 0.4154\n",
- "Epoch 952/1400\n",
- "28/28 [==============================] - 0s 886us/step - loss: 0.3886 - mse: 0.4023\n",
- "Epoch 953/1400\n",
- "28/28 [==============================] - 0s 926us/step - loss: 0.4280 - mse: 0.4464\n",
- "Epoch 954/1400\n",
- "28/28 [==============================] - 0s 947us/step - loss: 0.4412 - mse: 0.4506\n",
- "Epoch 955/1400\n",
- "28/28 [==============================] - 0s 903us/step - loss: 0.4009 - mse: 0.4173\n",
- "Epoch 956/1400\n",
- "28/28 [==============================] - 0s 925us/step - loss: 0.3847 - mse: 0.3987\n",
- "Epoch 957/1400\n",
- "28/28 [==============================] - 0s 999us/step - loss: 0.3943 - mse: 0.4151\n",
- "Epoch 958/1400\n",
- "28/28 [==============================] - 0s 938us/step - loss: 0.3909 - mse: 0.4021\n",
- "Epoch 959/1400\n",
- "28/28 [==============================] - 0s 877us/step - loss: 0.4230 - mse: 0.4356\n",
- "Epoch 960/1400\n",
- "28/28 [==============================] - 0s 908us/step - loss: 0.3884 - mse: 0.3994\n",
- "Epoch 961/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3682 - mse: 0.3885\n",
- "Epoch 962/1400\n",
- "28/28 [==============================] - 0s 874us/step - loss: 0.3648 - mse: 0.3911\n",
- "Epoch 963/1400\n",
- "28/28 [==============================] - 0s 901us/step - loss: 0.3733 - mse: 0.3909\n",
- "Epoch 964/1400\n",
- "28/28 [==============================] - 0s 902us/step - loss: 0.3810 - mse: 0.3947\n",
- "Epoch 965/1400\n",
- "28/28 [==============================] - 0s 986us/step - loss: 0.3793 - mse: 0.3965\n",
- "Epoch 966/1400\n",
- "28/28 [==============================] - 0s 870us/step - loss: 0.3796 - mse: 0.3898\n",
- "Epoch 967/1400\n",
- "28/28 [==============================] - 0s 884us/step - loss: 0.3762 - mse: 0.3944\n",
- "Epoch 968/1400\n",
- "28/28 [==============================] - 0s 919us/step - loss: 0.3944 - mse: 0.4072\n",
- "Epoch 969/1400\n",
- "28/28 [==============================] - 0s 867us/step - loss: 0.3671 - mse: 0.3871\n",
- "Epoch 970/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3863 - mse: 0.4024\n",
- "Epoch 971/1400\n",
- "28/28 [==============================] - 0s 929us/step - loss: 0.3832 - mse: 0.3993\n",
- "Epoch 972/1400\n",
- "28/28 [==============================] - 0s 881us/step - loss: 0.3858 - mse: 0.3958\n",
- "Epoch 973/1400\n",
- "28/28 [==============================] - 0s 891us/step - loss: 0.3693 - mse: 0.3899\n",
- "Epoch 974/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3685 - mse: 0.3801\n",
- "Epoch 975/1400\n",
- "28/28 [==============================] - 0s 884us/step - loss: 0.3697 - mse: 0.3913\n",
- "Epoch 976/1400\n",
- "28/28 [==============================] - 0s 892us/step - loss: 0.3758 - mse: 0.3895\n",
- "Epoch 977/1400\n",
- "28/28 [==============================] - 0s 921us/step - loss: 0.3723 - mse: 0.3918\n",
- "Epoch 978/1400\n",
- "28/28 [==============================] - 0s 975us/step - loss: 0.3729 - mse: 0.3908\n",
- "Epoch 979/1400\n",
- "28/28 [==============================] - 0s 873us/step - loss: 0.3866 - mse: 0.4010\n",
- "Epoch 980/1400\n",
- "28/28 [==============================] - 0s 931us/step - loss: 0.3711 - mse: 0.3881\n",
- "Epoch 981/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3955 - mse: 0.4105\n",
- "Epoch 982/1400\n",
- "28/28 [==============================] - 0s 992us/step - loss: 0.3894 - mse: 0.4140\n",
- "Epoch 983/1400\n",
- "28/28 [==============================] - 0s 881us/step - loss: 0.3870 - mse: 0.3966\n",
- "Epoch 984/1400\n",
- "28/28 [==============================] - 0s 931us/step - loss: 0.3724 - mse: 0.3890\n",
- "Epoch 985/1400\n",
- "28/28 [==============================] - 0s 903us/step - loss: 0.3703 - mse: 0.3854\n",
- "Epoch 986/1400\n",
- "28/28 [==============================] - 0s 884us/step - loss: 0.3769 - mse: 0.3868\n",
- "Epoch 987/1400\n",
- "28/28 [==============================] - 0s 948us/step - loss: 0.3662 - mse: 0.3875\n",
- "Epoch 988/1400\n",
- "28/28 [==============================] - 0s 942us/step - loss: 0.3755 - mse: 0.3909\n",
- "Epoch 989/1400\n",
- "28/28 [==============================] - 0s 870us/step - loss: 0.4008 - mse: 0.4099\n",
- "Epoch 990/1400\n",
- "28/28 [==============================] - 0s 918us/step - loss: 0.3601 - mse: 0.3784\n",
- "Epoch 991/1400\n",
- "28/28 [==============================] - 0s 866us/step - loss: 0.3652 - mse: 0.3843\n",
- "Epoch 992/1400\n",
- "28/28 [==============================] - 0s 943us/step - loss: 0.3741 - mse: 0.3923\n",
- "Epoch 993/1400\n",
- "28/28 [==============================] - 0s 935us/step - loss: 0.3682 - mse: 0.3854\n",
- "Epoch 994/1400\n",
- "28/28 [==============================] - 0s 891us/step - loss: 0.3773 - mse: 0.4016\n",
- "Epoch 995/1400\n",
- "28/28 [==============================] - 0s 910us/step - loss: 0.3843 - mse: 0.4035\n",
- "Epoch 996/1400\n",
- "28/28 [==============================] - 0s 976us/step - loss: 0.3700 - mse: 0.3857\n",
- "Epoch 997/1400\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "28/28 [==============================] - 0s 878us/step - loss: 0.3748 - mse: 0.3837\n",
- "Epoch 998/1400\n",
- "28/28 [==============================] - 0s 908us/step - loss: 0.3815 - mse: 0.3906\n",
- "Epoch 999/1400\n",
- "28/28 [==============================] - 0s 966us/step - loss: 0.3739 - mse: 0.3965\n",
- "Epoch 1000/1400\n",
- "28/28 [==============================] - 0s 913us/step - loss: 0.3688 - mse: 0.3881\n",
- "Epoch 1001/1400\n",
- "28/28 [==============================] - 0s 872us/step - loss: 0.3753 - mse: 0.3838\n",
- "Epoch 1002/1400\n",
- "28/28 [==============================] - 0s 928us/step - loss: 0.3637 - mse: 0.3772\n",
- "Epoch 1003/1400\n",
- "28/28 [==============================] - 0s 872us/step - loss: 0.3783 - mse: 0.4000\n",
- "Epoch 1004/1400\n",
- "28/28 [==============================] - 0s 864us/step - loss: 0.3744 - mse: 0.3893\n",
- "Epoch 1005/1400\n",
- "28/28 [==============================] - 0s 899us/step - loss: 0.3710 - mse: 0.3939\n",
- "Epoch 1006/1400\n",
- "28/28 [==============================] - 0s 887us/step - loss: 0.3707 - mse: 0.3814\n",
- "Epoch 1007/1400\n",
- "28/28 [==============================] - 0s 972us/step - loss: 0.3624 - mse: 0.3785\n",
- "Epoch 1008/1400\n",
- "28/28 [==============================] - 0s 955us/step - loss: 0.3646 - mse: 0.3867\n",
- "Epoch 1009/1400\n",
- "28/28 [==============================] - 0s 963us/step - loss: 0.3703 - mse: 0.3875\n",
- "Epoch 1010/1400\n",
- "28/28 [==============================] - 0s 985us/step - loss: 0.3947 - mse: 0.3975\n",
- "Epoch 1011/1400\n",
- "28/28 [==============================] - 0s 941us/step - loss: 0.3889 - mse: 0.4013\n",
- "Epoch 1012/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3671 - mse: 0.3848\n",
- "Epoch 1013/1400\n",
- "28/28 [==============================] - 0s 990us/step - loss: 0.3624 - mse: 0.3783\n",
- "Epoch 1014/1400\n",
- "28/28 [==============================] - 0s 892us/step - loss: 0.3597 - mse: 0.3751\n",
- "Epoch 1015/1400\n",
- "28/28 [==============================] - 0s 899us/step - loss: 0.3574 - mse: 0.3783\n",
- "Epoch 1016/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3601 - mse: 0.3778\n",
- "Epoch 1017/1400\n",
- "28/28 [==============================] - 0s 961us/step - loss: 0.3725 - mse: 0.3854\n",
- "Epoch 1018/1400\n",
- "28/28 [==============================] - 0s 935us/step - loss: 0.3720 - mse: 0.3791\n",
- "Epoch 1019/1400\n",
- "28/28 [==============================] - 0s 890us/step - loss: 0.3981 - mse: 0.4108\n",
- "Epoch 1020/1400\n",
- "28/28 [==============================] - 0s 992us/step - loss: 0.3901 - mse: 0.3944\n",
- "Epoch 1021/1400\n",
- "28/28 [==============================] - 0s 962us/step - loss: 0.3688 - mse: 0.3864\n",
- "Epoch 1022/1400\n",
- "28/28 [==============================] - 0s 929us/step - loss: 0.3853 - mse: 0.3866\n",
- "Epoch 1023/1400\n",
- "28/28 [==============================] - 0s 929us/step - loss: 0.3914 - mse: 0.3985\n",
- "Epoch 1024/1400\n",
- "28/28 [==============================] - 0s 963us/step - loss: 0.3734 - mse: 0.3752\n",
- "Epoch 1025/1400\n",
- "28/28 [==============================] - 0s 955us/step - loss: 0.3649 - mse: 0.3761\n",
- "Epoch 1026/1400\n",
- "28/28 [==============================] - 0s 935us/step - loss: 0.3817 - mse: 0.3852\n",
- "Epoch 1027/1400\n",
- "28/28 [==============================] - 0s 991us/step - loss: 0.3611 - mse: 0.3740\n",
- "Epoch 1028/1400\n",
- "28/28 [==============================] - 0s 877us/step - loss: 0.3753 - mse: 0.3827\n",
- "Epoch 1029/1400\n",
- "28/28 [==============================] - 0s 931us/step - loss: 0.3769 - mse: 0.3881\n",
- "Epoch 1030/1400\n",
- "28/28 [==============================] - 0s 870us/step - loss: 0.3662 - mse: 0.3788\n",
- "Epoch 1031/1400\n",
- "28/28 [==============================] - 0s 907us/step - loss: 0.3777 - mse: 0.3856\n",
- "Epoch 1032/1400\n",
- "28/28 [==============================] - 0s 924us/step - loss: 0.3839 - mse: 0.3889\n",
- "Epoch 1033/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3688 - mse: 0.3793\n",
- "Epoch 1034/1400\n",
- "28/28 [==============================] - 0s 904us/step - loss: 0.3597 - mse: 0.3719\n",
- "Epoch 1035/1400\n",
- "28/28 [==============================] - 0s 959us/step - loss: 0.3772 - mse: 0.3849\n",
- "Epoch 1036/1400\n",
- "28/28 [==============================] - 0s 905us/step - loss: 0.3735 - mse: 0.3748\n",
- "Epoch 1037/1400\n",
- "28/28 [==============================] - 0s 881us/step - loss: 0.3724 - mse: 0.3786\n",
- "Epoch 1038/1400\n",
- "28/28 [==============================] - 0s 933us/step - loss: 0.3766 - mse: 0.3835\n",
- "Epoch 1039/1400\n",
- "28/28 [==============================] - 0s 914us/step - loss: 0.3987 - mse: 0.3974\n",
- "Epoch 1040/1400\n",
- "28/28 [==============================] - 0s 905us/step - loss: 0.3824 - mse: 0.3948\n",
- "Epoch 1041/1400\n",
- "28/28 [==============================] - 0s 897us/step - loss: 0.3655 - mse: 0.3744\n",
- "Epoch 1042/1400\n",
- "28/28 [==============================] - 0s 966us/step - loss: 0.3540 - mse: 0.3689\n",
- "Epoch 1043/1400\n",
- "28/28 [==============================] - 0s 891us/step - loss: 0.3714 - mse: 0.3844\n",
- "Epoch 1044/1400\n",
- "28/28 [==============================] - 0s 885us/step - loss: 0.3617 - mse: 0.3726\n",
- "Epoch 1045/1400\n",
- "28/28 [==============================] - 0s 896us/step - loss: 0.3625 - mse: 0.3771\n",
- "Epoch 1046/1400\n",
- "28/28 [==============================] - 0s 897us/step - loss: 0.3654 - mse: 0.3775\n",
- "Epoch 1047/1400\n",
- "28/28 [==============================] - 0s 915us/step - loss: 0.3679 - mse: 0.3812\n",
- "Epoch 1048/1400\n",
- "28/28 [==============================] - 0s 907us/step - loss: 0.3689 - mse: 0.3724\n",
- "Epoch 1049/1400\n",
- "28/28 [==============================] - 0s 870us/step - loss: 0.3857 - mse: 0.3852\n",
- "Epoch 1050/1400\n",
- "28/28 [==============================] - 0s 879us/step - loss: 0.3767 - mse: 0.3932\n",
- "Epoch 1051/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3734 - mse: 0.3837\n",
- "Epoch 1052/1400\n",
- "28/28 [==============================] - 0s 931us/step - loss: 0.3690 - mse: 0.3792\n",
- "Epoch 1053/1400\n",
- "28/28 [==============================] - 0s 873us/step - loss: 0.3884 - mse: 0.3956\n",
- "Epoch 1054/1400\n",
- "28/28 [==============================] - 0s 904us/step - loss: 0.3907 - mse: 0.3887\n",
- "Epoch 1055/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3559 - mse: 0.3666\n",
- "Epoch 1056/1400\n",
- "28/28 [==============================] - 0s 967us/step - loss: 0.4102 - mse: 0.4082\n",
- "Epoch 1057/1400\n",
- "28/28 [==============================] - 0s 866us/step - loss: 0.3832 - mse: 0.3853\n",
- "Epoch 1058/1400\n",
- "28/28 [==============================] - 0s 981us/step - loss: 0.3805 - mse: 0.3861\n",
- "Epoch 1059/1400\n",
- "28/28 [==============================] - 0s 971us/step - loss: 0.3660 - mse: 0.3742\n",
- "Epoch 1060/1400\n",
- "28/28 [==============================] - 0s 883us/step - loss: 0.3693 - mse: 0.3787\n",
- "Epoch 1061/1400\n",
- "28/28 [==============================] - 0s 880us/step - loss: 0.3940 - mse: 0.4009\n",
- "Epoch 1062/1400\n",
- "28/28 [==============================] - 0s 898us/step - loss: 0.3796 - mse: 0.3798\n",
- "Epoch 1063/1400\n",
- "28/28 [==============================] - 0s 872us/step - loss: 0.3604 - mse: 0.3735\n",
- "Epoch 1064/1400\n",
- "28/28 [==============================] - 0s 976us/step - loss: 0.3614 - mse: 0.3727\n",
- "Epoch 1065/1400\n",
- "28/28 [==============================] - 0s 940us/step - loss: 0.3641 - mse: 0.3743\n",
- "Epoch 1066/1400\n",
- "28/28 [==============================] - 0s 890us/step - loss: 0.3791 - mse: 0.3777\n",
- "Epoch 1067/1400\n",
- "28/28 [==============================] - 0s 894us/step - loss: 0.3860 - mse: 0.3886\n",
- "Epoch 1068/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3742 - mse: 0.3681\n",
- "Epoch 1069/1400\n",
- "28/28 [==============================] - 0s 944us/step - loss: 0.3609 - mse: 0.3659\n",
- "Epoch 1070/1400\n",
- "28/28 [==============================] - 0s 891us/step - loss: 0.3837 - mse: 0.3864\n",
- "Epoch 1071/1400\n",
- "28/28 [==============================] - 0s 935us/step - loss: 0.3647 - mse: 0.3824\n",
- "Epoch 1072/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3667 - mse: 0.3674\n",
- "Epoch 1073/1400\n",
- "28/28 [==============================] - 0s 883us/step - loss: 0.3700 - mse: 0.3740\n",
- "Epoch 1074/1400\n",
- "28/28 [==============================] - 0s 897us/step - loss: 0.4069 - mse: 0.3959\n",
- "Epoch 1075/1400\n",
- "28/28 [==============================] - 0s 949us/step - loss: 0.3742 - mse: 0.3736\n",
- "Epoch 1076/1400\n",
- "28/28 [==============================] - 0s 2ms/step - loss: 0.3564 - mse: 0.3682\n",
- "Epoch 1077/1400\n",
- "28/28 [==============================] - 0s 957us/step - loss: 0.3680 - mse: 0.3646\n",
- "Epoch 1078/1400\n",
- "28/28 [==============================] - 0s 928us/step - loss: 0.3660 - mse: 0.3685\n",
- "Epoch 1079/1400\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "28/28 [==============================] - 0s 906us/step - loss: 0.3667 - mse: 0.3748\n",
- "Epoch 1080/1400\n",
- "28/28 [==============================] - 0s 993us/step - loss: 0.3640 - mse: 0.3670\n",
- "Epoch 1081/1400\n",
- "28/28 [==============================] - 0s 931us/step - loss: 0.3574 - mse: 0.3612\n",
- "Epoch 1082/1400\n",
- "28/28 [==============================] - 0s 994us/step - loss: 0.3630 - mse: 0.3653\n",
- "Epoch 1083/1400\n",
- "28/28 [==============================] - 0s 998us/step - loss: 0.3617 - mse: 0.3738\n",
- "Epoch 1084/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3630 - mse: 0.3686\n",
- "Epoch 1085/1400\n",
- "28/28 [==============================] - 0s 888us/step - loss: 0.3727 - mse: 0.3707\n",
- "Epoch 1086/1400\n",
- "28/28 [==============================] - 0s 926us/step - loss: 0.3571 - mse: 0.3666\n",
- "Epoch 1087/1400\n",
- "28/28 [==============================] - 0s 908us/step - loss: 0.3630 - mse: 0.3646\n",
- "Epoch 1088/1400\n",
- "28/28 [==============================] - 0s 934us/step - loss: 0.3713 - mse: 0.3619\n",
- "Epoch 1089/1400\n",
- "28/28 [==============================] - 0s 885us/step - loss: 0.3702 - mse: 0.3748\n",
- "Epoch 1090/1400\n",
- "28/28 [==============================] - 0s 920us/step - loss: 0.3617 - mse: 0.3676\n",
- "Epoch 1091/1400\n",
- "28/28 [==============================] - 0s 899us/step - loss: 0.3639 - mse: 0.3668\n",
- "Epoch 1092/1400\n",
- "28/28 [==============================] - 0s 914us/step - loss: 0.3656 - mse: 0.3665\n",
- "Epoch 1093/1400\n",
- "28/28 [==============================] - 0s 997us/step - loss: 0.3584 - mse: 0.3634\n",
- "Epoch 1094/1400\n",
- "28/28 [==============================] - 0s 904us/step - loss: 0.3500 - mse: 0.3577\n",
- "Epoch 1095/1400\n",
- "28/28 [==============================] - 0s 930us/step - loss: 0.3577 - mse: 0.3654\n",
- "Epoch 1096/1400\n",
- "28/28 [==============================] - 0s 964us/step - loss: 0.3823 - mse: 0.3819\n",
- "Epoch 1097/1400\n",
- "28/28 [==============================] - 0s 904us/step - loss: 0.3790 - mse: 0.3855\n",
- "Epoch 1098/1400\n",
- "28/28 [==============================] - 0s 865us/step - loss: 0.3567 - mse: 0.3596\n",
- "Epoch 1099/1400\n",
- "28/28 [==============================] - 0s 880us/step - loss: 0.3648 - mse: 0.3677\n",
- "Epoch 1100/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3565 - mse: 0.3598\n",
- "Epoch 1101/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.3625 - mse: 0.3690\n",
- "Epoch 1102/1400\n",
- "28/28 [==============================] - 0s 884us/step - loss: 0.3730 - mse: 0.3770\n",
- "Epoch 1103/1400\n",
- "28/28 [==============================] - 0s 943us/step - loss: 0.3520 - mse: 0.3634\n",
- "Epoch 1104/1400\n",
- "28/28 [==============================] - 0s 935us/step - loss: 0.3624 - mse: 0.3648\n",
- "Epoch 1105/1400\n",
- "28/28 [==============================] - 0s 869us/step - loss: 0.3584 - mse: 0.3689\n",
- "Epoch 1106/1400\n",
- "28/28 [==============================] - 0s 920us/step - loss: 0.3647 - mse: 0.3750\n",
- "Epoch 1107/1400\n",
- "28/28 [==============================] - 0s 849us/step - loss: 0.3612 - mse: 0.3650\n",
- "Epoch 1108/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3706 - mse: 0.3762\n",
- "Epoch 1109/1400\n",
- "28/28 [==============================] - 0s 961us/step - loss: 0.3821 - mse: 0.3923\n",
- "Epoch 1110/1400\n",
- "28/28 [==============================] - 0s 885us/step - loss: 0.3569 - mse: 0.3606\n",
- "Epoch 1111/1400\n",
- "28/28 [==============================] - 0s 867us/step - loss: 0.3574 - mse: 0.3629\n",
- "Epoch 1112/1400\n",
- "28/28 [==============================] - 0s 881us/step - loss: 0.3571 - mse: 0.3621\n",
- "Epoch 1113/1400\n",
- "28/28 [==============================] - 0s 975us/step - loss: 0.3485 - mse: 0.3594\n",
- "Epoch 1114/1400\n",
- "28/28 [==============================] - 0s 893us/step - loss: 0.3943 - mse: 0.3985\n",
- "Epoch 1115/1400\n",
- "28/28 [==============================] - 0s 923us/step - loss: 0.3662 - mse: 0.3705\n",
- "Epoch 1116/1400\n",
- "28/28 [==============================] - 0s 880us/step - loss: 0.3626 - mse: 0.3656\n",
- "Epoch 1117/1400\n",
- "28/28 [==============================] - 0s 949us/step - loss: 0.3556 - mse: 0.3578\n",
- "Epoch 1118/1400\n",
- "28/28 [==============================] - 0s 916us/step - loss: 0.3579 - mse: 0.3615\n",
- "Epoch 1119/1400\n",
- "28/28 [==============================] - 0s 926us/step - loss: 0.3513 - mse: 0.3531\n",
- "Epoch 1120/1400\n",
- "28/28 [==============================] - 0s 877us/step - loss: 0.3551 - mse: 0.3642\n",
- "Epoch 1121/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3495 - mse: 0.3615\n",
- "Epoch 1122/1400\n",
- "28/28 [==============================] - 0s 944us/step - loss: 0.3579 - mse: 0.3635\n",
- "Epoch 1123/1400\n",
- "28/28 [==============================] - 0s 864us/step - loss: 0.3569 - mse: 0.3645\n",
- "Epoch 1124/1400\n",
- "28/28 [==============================] - 0s 948us/step - loss: 0.3650 - mse: 0.3735\n",
- "Epoch 1125/1400\n",
- "28/28 [==============================] - 0s 968us/step - loss: 0.3494 - mse: 0.3549\n",
- "Epoch 1126/1400\n",
- "28/28 [==============================] - 0s 940us/step - loss: 0.3578 - mse: 0.3644\n",
- "Epoch 1127/1400\n",
- "28/28 [==============================] - 0s 856us/step - loss: 0.3592 - mse: 0.3628\n",
- "Epoch 1128/1400\n",
- "28/28 [==============================] - 0s 939us/step - loss: 0.3503 - mse: 0.3612\n",
- "Epoch 1129/1400\n",
- "28/28 [==============================] - 0s 908us/step - loss: 0.3506 - mse: 0.3527\n",
- "Epoch 1130/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3472 - mse: 0.3523\n",
- "Epoch 1131/1400\n",
- "28/28 [==============================] - 0s 912us/step - loss: 0.3522 - mse: 0.3597\n",
- "Epoch 1132/1400\n",
- "28/28 [==============================] - 0s 904us/step - loss: 0.3524 - mse: 0.3523\n",
- "Epoch 1133/1400\n",
- "28/28 [==============================] - 0s 882us/step - loss: 0.3714 - mse: 0.3741\n",
- "Epoch 1134/1400\n",
- "28/28 [==============================] - 0s 906us/step - loss: 0.3480 - mse: 0.3586\n",
- "Epoch 1135/1400\n",
- "28/28 [==============================] - 0s 884us/step - loss: 0.3773 - mse: 0.3649\n",
- "Epoch 1136/1400\n",
- "28/28 [==============================] - 0s 880us/step - loss: 0.3631 - mse: 0.3645\n",
- "Epoch 1137/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3625 - mse: 0.3600\n",
- "Epoch 1138/1400\n",
- "28/28 [==============================] - 0s 915us/step - loss: 0.3761 - mse: 0.3774\n",
- "Epoch 1139/1400\n",
- "28/28 [==============================] - 0s 902us/step - loss: 0.3558 - mse: 0.3645\n",
- "Epoch 1140/1400\n",
- "28/28 [==============================] - 0s 889us/step - loss: 0.3503 - mse: 0.3599\n",
- "Epoch 1141/1400\n",
- "28/28 [==============================] - 0s 960us/step - loss: 0.3552 - mse: 0.3580\n",
- "Epoch 1142/1400\n",
- "28/28 [==============================] - 0s 877us/step - loss: 0.3552 - mse: 0.3522\n",
- "Epoch 1143/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3518 - mse: 0.3575\n",
- "Epoch 1144/1400\n",
- "28/28 [==============================] - 0s 931us/step - loss: 0.3601 - mse: 0.3647\n",
- "Epoch 1145/1400\n",
- "28/28 [==============================] - 0s 875us/step - loss: 0.3594 - mse: 0.3523\n",
- "Epoch 1146/1400\n",
- "28/28 [==============================] - 0s 899us/step - loss: 0.3498 - mse: 0.3506\n",
- "Epoch 1147/1400\n",
- "28/28 [==============================] - 0s 917us/step - loss: 0.3758 - mse: 0.3833\n",
- "Epoch 1148/1400\n",
- "28/28 [==============================] - 0s 956us/step - loss: 0.3508 - mse: 0.3520\n",
- "Epoch 1149/1400\n",
- "28/28 [==============================] - 0s 880us/step - loss: 0.3647 - mse: 0.3667\n",
- "Epoch 1150/1400\n",
- "28/28 [==============================] - 0s 928us/step - loss: 0.3607 - mse: 0.3613\n",
- "Epoch 1151/1400\n",
- "28/28 [==============================] - 0s 910us/step - loss: 0.3555 - mse: 0.3623\n",
- "Epoch 1152/1400\n",
- "28/28 [==============================] - 0s 924us/step - loss: 0.3802 - mse: 0.3815\n",
- "Epoch 1153/1400\n",
- "28/28 [==============================] - 0s 910us/step - loss: 0.3806 - mse: 0.3747\n",
- "Epoch 1154/1400\n",
- "28/28 [==============================] - 0s 898us/step - loss: 0.3586 - mse: 0.3619\n",
- "Epoch 1155/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3432 - mse: 0.3481\n",
- "Epoch 1156/1400\n",
- "28/28 [==============================] - 0s 873us/step - loss: 0.3537 - mse: 0.3523\n",
- "Epoch 1157/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3589 - mse: 0.3588\n",
- "Epoch 1158/1400\n",
- "28/28 [==============================] - 0s 886us/step - loss: 0.3453 - mse: 0.3544\n",
- "Epoch 1159/1400\n",
- "28/28 [==============================] - 0s 927us/step - loss: 0.3487 - mse: 0.3548\n",
- "Epoch 1160/1400\n",
- "28/28 [==============================] - 0s 992us/step - loss: 0.3665 - mse: 0.3655\n",
- "Epoch 1161/1400\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "28/28 [==============================] - 0s 908us/step - loss: 0.3865 - mse: 0.3773\n",
- "Epoch 1162/1400\n",
- "28/28 [==============================] - 0s 878us/step - loss: 0.3749 - mse: 0.3706\n",
- "Epoch 1163/1400\n",
- "28/28 [==============================] - 0s 911us/step - loss: 0.3842 - mse: 0.3752\n",
- "Epoch 1164/1400\n",
- "28/28 [==============================] - 0s 927us/step - loss: 0.3782 - mse: 0.3681\n",
- "Epoch 1165/1400\n",
- "28/28 [==============================] - 0s 934us/step - loss: 0.3597 - mse: 0.3614\n",
- "Epoch 1166/1400\n",
- "28/28 [==============================] - 0s 900us/step - loss: 0.3619 - mse: 0.3610\n",
- "Epoch 1167/1400\n",
- "28/28 [==============================] - 0s 925us/step - loss: 0.3551 - mse: 0.3566\n",
- "Epoch 1168/1400\n",
- "28/28 [==============================] - 0s 862us/step - loss: 0.3539 - mse: 0.3484\n",
- "Epoch 1169/1400\n",
- "28/28 [==============================] - 0s 893us/step - loss: 0.3580 - mse: 0.3562\n",
- "Epoch 1170/1400\n",
- "28/28 [==============================] - 0s 879us/step - loss: 0.3625 - mse: 0.3605\n",
- "Epoch 1171/1400\n",
- "28/28 [==============================] - 0s 942us/step - loss: 0.3468 - mse: 0.3470\n",
- "Epoch 1172/1400\n",
- "28/28 [==============================] - 0s 919us/step - loss: 0.3473 - mse: 0.3487\n",
- "Epoch 1173/1400\n",
- "28/28 [==============================] - 0s 990us/step - loss: 0.3609 - mse: 0.3551\n",
- "Epoch 1174/1400\n",
- "28/28 [==============================] - 0s 935us/step - loss: 0.3580 - mse: 0.3495\n",
- "Epoch 1175/1400\n",
- "28/28 [==============================] - 0s 861us/step - loss: 0.3465 - mse: 0.3455\n",
- "Epoch 1176/1400\n",
- "28/28 [==============================] - 0s 898us/step - loss: 0.3531 - mse: 0.3630\n",
- "Epoch 1177/1400\n",
- "28/28 [==============================] - 0s 857us/step - loss: 0.3490 - mse: 0.3543\n",
- "Epoch 1178/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.3709 - mse: 0.3705\n",
- "Epoch 1179/1400\n",
- "28/28 [==============================] - 0s 992us/step - loss: 0.3487 - mse: 0.3503\n",
- "Epoch 1180/1400\n",
- "28/28 [==============================] - 0s 952us/step - loss: 0.3436 - mse: 0.3508\n",
- "Epoch 1181/1400\n",
- "28/28 [==============================] - 0s 855us/step - loss: 0.3729 - mse: 0.3580\n",
- "Epoch 1182/1400\n",
- "28/28 [==============================] - 0s 932us/step - loss: 0.3625 - mse: 0.3544\n",
- "Epoch 1183/1400\n",
- "28/28 [==============================] - 0s 900us/step - loss: 0.3789 - mse: 0.3675\n",
- "Epoch 1184/1400\n",
- "28/28 [==============================] - 0s 893us/step - loss: 0.3891 - mse: 0.3714\n",
- "Epoch 1185/1400\n",
- "28/28 [==============================] - 0s 919us/step - loss: 0.3933 - mse: 0.3755\n",
- "Epoch 1186/1400\n",
- "28/28 [==============================] - 0s 872us/step - loss: 0.3763 - mse: 0.3598\n",
- "Epoch 1187/1400\n",
- "28/28 [==============================] - 0s 875us/step - loss: 0.3556 - mse: 0.3518\n",
- "Epoch 1188/1400\n",
- "28/28 [==============================] - 0s 974us/step - loss: 0.4052 - mse: 0.3959\n",
- "Epoch 1189/1400\n",
- "28/28 [==============================] - 0s 941us/step - loss: 0.3858 - mse: 0.3679\n",
- "Epoch 1190/1400\n",
- "28/28 [==============================] - 0s 883us/step - loss: 0.3424 - mse: 0.3479\n",
- "Epoch 1191/1400\n",
- "28/28 [==============================] - 0s 912us/step - loss: 0.3655 - mse: 0.3585\n",
- "Epoch 1192/1400\n",
- "28/28 [==============================] - 0s 868us/step - loss: 0.3793 - mse: 0.3659\n",
- "Epoch 1193/1400\n",
- "28/28 [==============================] - 0s 944us/step - loss: 0.3622 - mse: 0.3598\n",
- "Epoch 1194/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3492 - mse: 0.3501\n",
- "Epoch 1195/1400\n",
- "28/28 [==============================] - 0s 872us/step - loss: 0.3370 - mse: 0.3418\n",
- "Epoch 1196/1400\n",
- "28/28 [==============================] - 0s 884us/step - loss: 0.3837 - mse: 0.3719\n",
- "Epoch 1197/1400\n",
- "28/28 [==============================] - 0s 931us/step - loss: 0.3683 - mse: 0.3568\n",
- "Epoch 1198/1400\n",
- "28/28 [==============================] - 0s 914us/step - loss: 0.3496 - mse: 0.3461\n",
- "Epoch 1199/1400\n",
- "28/28 [==============================] - 0s 878us/step - loss: 0.3447 - mse: 0.3454\n",
- "Epoch 1200/1400\n",
- "28/28 [==============================] - 0s 975us/step - loss: 0.3876 - mse: 0.3674\n",
- "Epoch 1201/1400\n",
- "28/28 [==============================] - 0s 926us/step - loss: 0.4028 - mse: 0.3979\n",
- "Epoch 1202/1400\n",
- "28/28 [==============================] - 0s 870us/step - loss: 0.3512 - mse: 0.3502\n",
- "Epoch 1203/1400\n",
- "28/28 [==============================] - 0s 959us/step - loss: 0.3570 - mse: 0.3546\n",
- "Epoch 1204/1400\n",
- "28/28 [==============================] - 0s 978us/step - loss: 0.3317 - mse: 0.3376\n",
- "Epoch 1205/1400\n",
- "28/28 [==============================] - 0s 872us/step - loss: 0.3472 - mse: 0.3436\n",
- "Epoch 1206/1400\n",
- "28/28 [==============================] - 0s 874us/step - loss: 0.3419 - mse: 0.3424\n",
- "Epoch 1207/1400\n",
- "28/28 [==============================] - 0s 911us/step - loss: 0.3452 - mse: 0.3500\n",
- "Epoch 1208/1400\n",
- "28/28 [==============================] - 0s 900us/step - loss: 0.3501 - mse: 0.3463\n",
- "Epoch 1209/1400\n",
- "28/28 [==============================] - 0s 901us/step - loss: 0.3347 - mse: 0.3335\n",
- "Epoch 1210/1400\n",
- "28/28 [==============================] - 0s 911us/step - loss: 0.3512 - mse: 0.3505\n",
- "Epoch 1211/1400\n",
- "28/28 [==============================] - 0s 937us/step - loss: 0.3572 - mse: 0.3589\n",
- "Epoch 1212/1400\n",
- "28/28 [==============================] - 0s 879us/step - loss: 0.3687 - mse: 0.3643\n",
- "Epoch 1213/1400\n",
- "28/28 [==============================] - 0s 900us/step - loss: 0.3643 - mse: 0.3547\n",
- "Epoch 1214/1400\n",
- "28/28 [==============================] - 0s 854us/step - loss: 0.3580 - mse: 0.3383\n",
- "Epoch 1215/1400\n",
- "28/28 [==============================] - 0s 937us/step - loss: 0.3631 - mse: 0.3477\n",
- "Epoch 1216/1400\n",
- "28/28 [==============================] - 0s 937us/step - loss: 0.3444 - mse: 0.3430\n",
- "Epoch 1217/1400\n",
- "28/28 [==============================] - 0s 880us/step - loss: 0.3490 - mse: 0.3449\n",
- "Epoch 1218/1400\n",
- "28/28 [==============================] - 0s 917us/step - loss: 0.3363 - mse: 0.3373\n",
- "Epoch 1219/1400\n",
- "28/28 [==============================] - 0s 920us/step - loss: 0.3327 - mse: 0.3411\n",
- "Epoch 1220/1400\n",
- "28/28 [==============================] - 0s 978us/step - loss: 0.3438 - mse: 0.3439\n",
- "Epoch 1221/1400\n",
- "28/28 [==============================] - 0s 888us/step - loss: 0.3484 - mse: 0.3482\n",
- "Epoch 1222/1400\n",
- "28/28 [==============================] - 0s 894us/step - loss: 0.3577 - mse: 0.3520\n",
- "Epoch 1223/1400\n",
- "28/28 [==============================] - 0s 884us/step - loss: 0.3744 - mse: 0.3657\n",
- "Epoch 1224/1400\n",
- "28/28 [==============================] - 0s 938us/step - loss: 0.3593 - mse: 0.3419\n",
- "Epoch 1225/1400\n",
- "28/28 [==============================] - 0s 924us/step - loss: 0.3727 - mse: 0.3636\n",
- "Epoch 1226/1400\n",
- "28/28 [==============================] - 0s 919us/step - loss: 0.3527 - mse: 0.3479\n",
- "Epoch 1227/1400\n",
- "28/28 [==============================] - 0s 964us/step - loss: 0.3517 - mse: 0.3453\n",
- "Epoch 1228/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3558 - mse: 0.3608\n",
- "Epoch 1229/1400\n",
- "28/28 [==============================] - 0s 935us/step - loss: 0.3505 - mse: 0.3458\n",
- "Epoch 1230/1400\n",
- "28/28 [==============================] - 0s 912us/step - loss: 0.3530 - mse: 0.3488\n",
- "Epoch 1231/1400\n",
- "28/28 [==============================] - 0s 942us/step - loss: 0.3566 - mse: 0.3541\n",
- "Epoch 1232/1400\n",
- "28/28 [==============================] - 0s 894us/step - loss: 0.3652 - mse: 0.3594\n",
- "Epoch 1233/1400\n",
- "28/28 [==============================] - 0s 880us/step - loss: 0.3587 - mse: 0.3507\n",
- "Epoch 1234/1400\n",
- "28/28 [==============================] - 0s 898us/step - loss: 0.3435 - mse: 0.3408\n",
- "Epoch 1235/1400\n",
- "28/28 [==============================] - 0s 991us/step - loss: 0.3582 - mse: 0.3574\n",
- "Epoch 1236/1400\n",
- "28/28 [==============================] - 0s 895us/step - loss: 0.3500 - mse: 0.3452\n",
- "Epoch 1237/1400\n",
- "28/28 [==============================] - 0s 879us/step - loss: 0.3666 - mse: 0.3544\n",
- "Epoch 1238/1400\n",
- "28/28 [==============================] - 0s 969us/step - loss: 0.3682 - mse: 0.3533\n",
- "Epoch 1239/1400\n",
- "28/28 [==============================] - 0s 920us/step - loss: 0.3726 - mse: 0.3602\n",
- "Epoch 1240/1400\n",
- "28/28 [==============================] - 0s 943us/step - loss: 0.3504 - mse: 0.3408\n",
- "Epoch 1241/1400\n",
- "28/28 [==============================] - 0s 958us/step - loss: 0.3609 - mse: 0.3506\n",
- "Epoch 1242/1400\n",
- "28/28 [==============================] - 0s 963us/step - loss: 0.3674 - mse: 0.3580\n",
- "Epoch 1243/1400\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "28/28 [==============================] - 0s 901us/step - loss: 0.3722 - mse: 0.3668\n",
- "Epoch 1244/1400\n",
- "28/28 [==============================] - 0s 854us/step - loss: 0.3627 - mse: 0.3506\n",
- "Epoch 1245/1400\n",
- "28/28 [==============================] - 0s 912us/step - loss: 0.3834 - mse: 0.3749\n",
- "Epoch 1246/1400\n",
- "28/28 [==============================] - 0s 890us/step - loss: 0.3365 - mse: 0.3362\n",
- "Epoch 1247/1400\n",
- "28/28 [==============================] - 0s 968us/step - loss: 0.3882 - mse: 0.3729\n",
- "Epoch 1248/1400\n",
- "28/28 [==============================] - 0s 922us/step - loss: 0.3597 - mse: 0.3409\n",
- "Epoch 1249/1400\n",
- "28/28 [==============================] - 0s 902us/step - loss: 0.3393 - mse: 0.3316\n",
- "Epoch 1250/1400\n",
- "28/28 [==============================] - 0s 878us/step - loss: 0.3465 - mse: 0.3345\n",
- "Epoch 1251/1400\n",
- "28/28 [==============================] - 0s 992us/step - loss: 0.3704 - mse: 0.3539\n",
- "Epoch 1252/1400\n",
- "28/28 [==============================] - 0s 884us/step - loss: 0.3518 - mse: 0.3468\n",
- "Epoch 1253/1400\n",
- "28/28 [==============================] - 0s 871us/step - loss: 0.3311 - mse: 0.3298\n",
- "Epoch 1254/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3563 - mse: 0.3527\n",
- "Epoch 1255/1400\n",
- "28/28 [==============================] - 0s 925us/step - loss: 0.3421 - mse: 0.3408\n",
- "Epoch 1256/1400\n",
- "28/28 [==============================] - 0s 858us/step - loss: 0.3716 - mse: 0.3604\n",
- "Epoch 1257/1400\n",
- "28/28 [==============================] - 0s 921us/step - loss: 0.3344 - mse: 0.3348\n",
- "Epoch 1258/1400\n",
- "28/28 [==============================] - 0s 871us/step - loss: 0.3466 - mse: 0.3408\n",
- "Epoch 1259/1400\n",
- "28/28 [==============================] - 0s 864us/step - loss: 0.3330 - mse: 0.3325\n",
- "Epoch 1260/1400\n",
- "28/28 [==============================] - 0s 958us/step - loss: 0.3616 - mse: 0.3460\n",
- "Epoch 1261/1400\n",
- "28/28 [==============================] - 0s 914us/step - loss: 0.3694 - mse: 0.3536\n",
- "Epoch 1262/1400\n",
- "28/28 [==============================] - 0s 880us/step - loss: 0.3689 - mse: 0.3586\n",
- "Epoch 1263/1400\n",
- "28/28 [==============================] - 0s 936us/step - loss: 0.3425 - mse: 0.3391\n",
- "Epoch 1264/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3463 - mse: 0.3417\n",
- "Epoch 1265/1400\n",
- "28/28 [==============================] - 0s 908us/step - loss: 0.3571 - mse: 0.3474\n",
- "Epoch 1266/1400\n",
- "28/28 [==============================] - 0s 893us/step - loss: 0.3626 - mse: 0.3528\n",
- "Epoch 1267/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3576 - mse: 0.3435\n",
- "Epoch 1268/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3576 - mse: 0.3535\n",
- "Epoch 1269/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3499 - mse: 0.3405\n",
- "Epoch 1270/1400\n",
- "28/28 [==============================] - 0s 921us/step - loss: 0.3624 - mse: 0.3508\n",
- "Epoch 1271/1400\n",
- "28/28 [==============================] - 0s 871us/step - loss: 0.3449 - mse: 0.3381\n",
- "Epoch 1272/1400\n",
- "28/28 [==============================] - 0s 885us/step - loss: 0.3646 - mse: 0.3516\n",
- "Epoch 1273/1400\n",
- "28/28 [==============================] - 0s 974us/step - loss: 0.3503 - mse: 0.3385\n",
- "Epoch 1274/1400\n",
- "28/28 [==============================] - 0s 878us/step - loss: 0.3353 - mse: 0.3305\n",
- "Epoch 1275/1400\n",
- "28/28 [==============================] - 0s 940us/step - loss: 0.3630 - mse: 0.3519\n",
- "Epoch 1276/1400\n",
- "28/28 [==============================] - 0s 924us/step - loss: 0.3564 - mse: 0.3354\n",
- "Epoch 1277/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3812 - mse: 0.3622\n",
- "Epoch 1278/1400\n",
- "28/28 [==============================] - 0s 913us/step - loss: 0.3730 - mse: 0.3614\n",
- "Epoch 1279/1400\n",
- "28/28 [==============================] - 0s 895us/step - loss: 0.4151 - mse: 0.3931\n",
- "Epoch 1280/1400\n",
- "28/28 [==============================] - 0s 890us/step - loss: 0.3610 - mse: 0.3477\n",
- "Epoch 1281/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3401 - mse: 0.3300\n",
- "Epoch 1282/1400\n",
- "28/28 [==============================] - 0s 885us/step - loss: 0.3477 - mse: 0.3385\n",
- "Epoch 1283/1400\n",
- "28/28 [==============================] - 0s 900us/step - loss: 0.3429 - mse: 0.3380\n",
- "Epoch 1284/1400\n",
- "28/28 [==============================] - 0s 884us/step - loss: 0.3532 - mse: 0.3454\n",
- "Epoch 1285/1400\n",
- "28/28 [==============================] - 0s 966us/step - loss: 0.3475 - mse: 0.3393\n",
- "Epoch 1286/1400\n",
- "28/28 [==============================] - 0s 929us/step - loss: 0.3313 - mse: 0.3286\n",
- "Epoch 1287/1400\n",
- "28/28 [==============================] - 0s 2ms/step - loss: 0.3465 - mse: 0.3382\n",
- "Epoch 1288/1400\n",
- "28/28 [==============================] - 0s 998us/step - loss: 0.3476 - mse: 0.3471\n",
- "Epoch 1289/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.3530 - mse: 0.3455\n",
- "Epoch 1290/1400\n",
- "28/28 [==============================] - 0s 897us/step - loss: 0.3349 - mse: 0.3330\n",
- "Epoch 1291/1400\n",
- "28/28 [==============================] - 0s 995us/step - loss: 0.3544 - mse: 0.3375\n",
- "Epoch 1292/1400\n",
- "28/28 [==============================] - 0s 883us/step - loss: 0.3322 - mse: 0.3302\n",
- "Epoch 1293/1400\n",
- "28/28 [==============================] - 0s 902us/step - loss: 0.3438 - mse: 0.3326\n",
- "Epoch 1294/1400\n",
- "28/28 [==============================] - 0s 920us/step - loss: 0.3571 - mse: 0.3429\n",
- "Epoch 1295/1400\n",
- "28/28 [==============================] - 0s 973us/step - loss: 0.3558 - mse: 0.3424\n",
- "Epoch 1296/1400\n",
- "28/28 [==============================] - 0s 899us/step - loss: 0.3377 - mse: 0.3333\n",
- "Epoch 1297/1400\n",
- "28/28 [==============================] - 0s 970us/step - loss: 0.3432 - mse: 0.3278\n",
- "Epoch 1298/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3237 - mse: 0.3228\n",
- "Epoch 1299/1400\n",
- "28/28 [==============================] - 0s 912us/step - loss: 0.3395 - mse: 0.3310\n",
- "Epoch 1300/1400\n",
- "28/28 [==============================] - 0s 883us/step - loss: 0.3365 - mse: 0.3374\n",
- "Epoch 1301/1400\n",
- "28/28 [==============================] - 0s 968us/step - loss: 0.3564 - mse: 0.3435\n",
- "Epoch 1302/1400\n",
- "28/28 [==============================] - 0s 899us/step - loss: 0.3372 - mse: 0.3336\n",
- "Epoch 1303/1400\n",
- "28/28 [==============================] - 0s 886us/step - loss: 0.3467 - mse: 0.3374\n",
- "Epoch 1304/1400\n",
- "28/28 [==============================] - 0s 939us/step - loss: 0.3478 - mse: 0.3319\n",
- "Epoch 1305/1400\n",
- "28/28 [==============================] - 0s 994us/step - loss: 0.3493 - mse: 0.3358\n",
- "Epoch 1306/1400\n",
- "28/28 [==============================] - 0s 941us/step - loss: 0.3780 - mse: 0.3501\n",
- "Epoch 1307/1400\n",
- "28/28 [==============================] - 0s 896us/step - loss: 0.3435 - mse: 0.3252\n",
- "Epoch 1308/1400\n",
- "28/28 [==============================] - 0s 915us/step - loss: 0.3381 - mse: 0.3302\n",
- "Epoch 1309/1400\n",
- "28/28 [==============================] - 0s 899us/step - loss: 0.3436 - mse: 0.3358\n",
- "Epoch 1310/1400\n",
- "28/28 [==============================] - 0s 889us/step - loss: 0.3561 - mse: 0.3523\n",
- "Epoch 1311/1400\n",
- "28/28 [==============================] - 0s 979us/step - loss: 0.3361 - mse: 0.3323\n",
- "Epoch 1312/1400\n",
- "28/28 [==============================] - 0s 908us/step - loss: 0.3595 - mse: 0.3519\n",
- "Epoch 1313/1400\n",
- "28/28 [==============================] - 0s 865us/step - loss: 0.3386 - mse: 0.3338\n",
- "Epoch 1314/1400\n",
- "28/28 [==============================] - 0s 927us/step - loss: 0.3340 - mse: 0.3288\n",
- "Epoch 1315/1400\n",
- "28/28 [==============================] - 0s 986us/step - loss: 0.3296 - mse: 0.3267\n",
- "Epoch 1316/1400\n",
- "28/28 [==============================] - 0s 879us/step - loss: 0.3558 - mse: 0.3438\n",
- "Epoch 1317/1400\n",
- "28/28 [==============================] - 0s 919us/step - loss: 0.3400 - mse: 0.3341\n",
- "Epoch 1318/1400\n",
- "28/28 [==============================] - 0s 868us/step - loss: 0.3278 - mse: 0.3221\n",
- "Epoch 1319/1400\n",
- "28/28 [==============================] - 0s 906us/step - loss: 0.3390 - mse: 0.3332\n",
- "Epoch 1320/1400\n",
- "28/28 [==============================] - 0s 932us/step - loss: 0.3362 - mse: 0.3278\n",
- "Epoch 1321/1400\n",
- "28/28 [==============================] - 0s 978us/step - loss: 0.3427 - mse: 0.3284\n",
- "Epoch 1322/1400\n",
- "28/28 [==============================] - 0s 901us/step - loss: 0.3412 - mse: 0.3318\n",
- "Epoch 1323/1400\n",
- "28/28 [==============================] - 0s 950us/step - loss: 0.3252 - mse: 0.3152\n",
- "Epoch 1324/1400\n",
- "28/28 [==============================] - 0s 890us/step - loss: 0.3505 - mse: 0.3447\n",
- "Epoch 1325/1400\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "28/28 [==============================] - 0s 866us/step - loss: 0.3347 - mse: 0.3251\n",
- "Epoch 1326/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3415 - mse: 0.3337\n",
- "Epoch 1327/1400\n",
- "28/28 [==============================] - 0s 903us/step - loss: 0.3312 - mse: 0.3283\n",
- "Epoch 1328/1400\n",
- "28/28 [==============================] - 0s 856us/step - loss: 0.3333 - mse: 0.3218\n",
- "Epoch 1329/1400\n",
- "28/28 [==============================] - 0s 933us/step - loss: 0.3557 - mse: 0.3418\n",
- "Epoch 1330/1400\n",
- "28/28 [==============================] - 0s 967us/step - loss: 0.3502 - mse: 0.3411\n",
- "Epoch 1331/1400\n",
- "28/28 [==============================] - 0s 887us/step - loss: 0.3480 - mse: 0.3431\n",
- "Epoch 1332/1400\n",
- "28/28 [==============================] - 0s 904us/step - loss: 0.3449 - mse: 0.3432\n",
- "Epoch 1333/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3512 - mse: 0.3472\n",
- "Epoch 1334/1400\n",
- "28/28 [==============================] - 0s 957us/step - loss: 0.3365 - mse: 0.3284\n",
- "Epoch 1335/1400\n",
- "28/28 [==============================] - 0s 903us/step - loss: 0.3359 - mse: 0.3304\n",
- "Epoch 1336/1400\n",
- "28/28 [==============================] - 0s 910us/step - loss: 0.3255 - mse: 0.3258\n",
- "Epoch 1337/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.3264 - mse: 0.3277\n",
- "Epoch 1338/1400\n",
- "28/28 [==============================] - 0s 943us/step - loss: 0.3347 - mse: 0.3273\n",
- "Epoch 1339/1400\n",
- "28/28 [==============================] - 0s 913us/step - loss: 0.3387 - mse: 0.3313\n",
- "Epoch 1340/1400\n",
- "28/28 [==============================] - 0s 871us/step - loss: 0.3301 - mse: 0.3267\n",
- "Epoch 1341/1400\n",
- "28/28 [==============================] - 0s 863us/step - loss: 0.3549 - mse: 0.3402\n",
- "Epoch 1342/1400\n",
- "28/28 [==============================] - 0s 893us/step - loss: 0.3308 - mse: 0.3255\n",
- "Epoch 1343/1400\n",
- "28/28 [==============================] - 0s 901us/step - loss: 0.3314 - mse: 0.3291\n",
- "Epoch 1344/1400\n",
- "28/28 [==============================] - 0s 924us/step - loss: 0.3371 - mse: 0.3310\n",
- "Epoch 1345/1400\n",
- "28/28 [==============================] - 0s 911us/step - loss: 0.3467 - mse: 0.3321\n",
- "Epoch 1346/1400\n",
- "28/28 [==============================] - 0s 906us/step - loss: 0.3266 - mse: 0.3224\n",
- "Epoch 1347/1400\n",
- "28/28 [==============================] - 0s 866us/step - loss: 0.3338 - mse: 0.3321\n",
- "Epoch 1348/1400\n",
- "28/28 [==============================] - 0s 866us/step - loss: 0.3281 - mse: 0.3252\n",
- "Epoch 1349/1400\n",
- "28/28 [==============================] - 0s 961us/step - loss: 0.3621 - mse: 0.3515\n",
- "Epoch 1350/1400\n",
- "28/28 [==============================] - 0s 895us/step - loss: 0.3551 - mse: 0.3396\n",
- "Epoch 1351/1400\n",
- "28/28 [==============================] - 0s 934us/step - loss: 0.3365 - mse: 0.3264\n",
- "Epoch 1352/1400\n",
- "28/28 [==============================] - 0s 874us/step - loss: 0.3407 - mse: 0.3258\n",
- "Epoch 1353/1400\n",
- "28/28 [==============================] - 0s 933us/step - loss: 0.3423 - mse: 0.3391\n",
- "Epoch 1354/1400\n",
- "28/28 [==============================] - 0s 938us/step - loss: 0.3257 - mse: 0.3251\n",
- "Epoch 1355/1400\n",
- "28/28 [==============================] - 0s 876us/step - loss: 0.3189 - mse: 0.3198\n",
- "Epoch 1356/1400\n",
- "28/28 [==============================] - 0s 866us/step - loss: 0.3374 - mse: 0.3247\n",
- "Epoch 1357/1400\n",
- "28/28 [==============================] - 0s 923us/step - loss: 0.3542 - mse: 0.3415\n",
- "Epoch 1358/1400\n",
- "28/28 [==============================] - 0s 994us/step - loss: 0.3422 - mse: 0.3318\n",
- "Epoch 1359/1400\n",
- "28/28 [==============================] - 0s 864us/step - loss: 0.3428 - mse: 0.3263\n",
- "Epoch 1360/1400\n",
- "28/28 [==============================] - 0s 939us/step - loss: 0.3444 - mse: 0.3300\n",
- "Epoch 1361/1400\n",
- "28/28 [==============================] - 0s 900us/step - loss: 0.3282 - mse: 0.3197\n",
- "Epoch 1362/1400\n",
- "28/28 [==============================] - 0s 967us/step - loss: 0.3271 - mse: 0.3218\n",
- "Epoch 1363/1400\n",
- "28/28 [==============================] - 0s 922us/step - loss: 0.3264 - mse: 0.3182\n",
- "Epoch 1364/1400\n",
- "28/28 [==============================] - 0s 890us/step - loss: 0.3324 - mse: 0.3259\n",
- "Epoch 1365/1400\n",
- "28/28 [==============================] - 0s 884us/step - loss: 0.3343 - mse: 0.3291\n",
- "Epoch 1366/1400\n",
- "28/28 [==============================] - 0s 953us/step - loss: 0.3281 - mse: 0.3275\n",
- "Epoch 1367/1400\n",
- "28/28 [==============================] - 0s 921us/step - loss: 0.3458 - mse: 0.3348\n",
- "Epoch 1368/1400\n",
- "28/28 [==============================] - 0s 870us/step - loss: 0.3392 - mse: 0.3242\n",
- "Epoch 1369/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3406 - mse: 0.3290\n",
- "Epoch 1370/1400\n",
- "28/28 [==============================] - 0s 929us/step - loss: 0.3660 - mse: 0.3450\n",
- "Epoch 1371/1400\n",
- "28/28 [==============================] - 0s 908us/step - loss: 0.3306 - mse: 0.3230\n",
- "Epoch 1372/1400\n",
- "28/28 [==============================] - 0s 953us/step - loss: 0.3563 - mse: 0.3329\n",
- "Epoch 1373/1400\n",
- "28/28 [==============================] - 0s 868us/step - loss: 0.3304 - mse: 0.3259\n",
- "Epoch 1374/1400\n",
- "28/28 [==============================] - 0s 912us/step - loss: 0.3265 - mse: 0.3191\n",
- "Epoch 1375/1400\n",
- "28/28 [==============================] - 0s 936us/step - loss: 0.3283 - mse: 0.3266\n",
- "Epoch 1376/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3604 - mse: 0.3384\n",
- "Epoch 1377/1400\n",
- "28/28 [==============================] - 0s 944us/step - loss: 0.3668 - mse: 0.3460\n",
- "Epoch 1378/1400\n",
- "28/28 [==============================] - 0s 899us/step - loss: 0.3351 - mse: 0.3207\n",
- "Epoch 1379/1400\n",
- "28/28 [==============================] - 0s 896us/step - loss: 0.3422 - mse: 0.3224\n",
- "Epoch 1380/1400\n",
- "28/28 [==============================] - 0s 938us/step - loss: 0.3473 - mse: 0.3356\n",
- "Epoch 1381/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3462 - mse: 0.3266\n",
- "Epoch 1382/1400\n",
- "28/28 [==============================] - 0s 875us/step - loss: 0.3252 - mse: 0.3208\n",
- "Epoch 1383/1400\n",
- "28/28 [==============================] - 0s 893us/step - loss: 0.3460 - mse: 0.3321\n",
- "Epoch 1384/1400\n",
- "28/28 [==============================] - 0s 986us/step - loss: 0.3585 - mse: 0.3450\n",
- "Epoch 1385/1400\n",
- "28/28 [==============================] - 0s 896us/step - loss: 0.3713 - mse: 0.3553\n",
- "Epoch 1386/1400\n",
- "28/28 [==============================] - 0s 872us/step - loss: 0.3336 - mse: 0.3183\n",
- "Epoch 1387/1400\n",
- "28/28 [==============================] - 0s 992us/step - loss: 0.3331 - mse: 0.3207\n",
- "Epoch 1388/1400\n",
- "28/28 [==============================] - 0s 973us/step - loss: 0.3449 - mse: 0.3315\n",
- "Epoch 1389/1400\n",
- "28/28 [==============================] - 0s 874us/step - loss: 0.3463 - mse: 0.3246\n",
- "Epoch 1390/1400\n",
- "28/28 [==============================] - 0s 1ms/step - loss: 0.3330 - mse: 0.3184\n",
- "Epoch 1391/1400\n",
- "28/28 [==============================] - 0s 986us/step - loss: 0.3280 - mse: 0.3218\n",
- "Epoch 1392/1400\n",
- "28/28 [==============================] - 0s 969us/step - loss: 0.3529 - mse: 0.3421\n",
- "Epoch 1393/1400\n",
- "28/28 [==============================] - 0s 870us/step - loss: 0.3371 - mse: 0.3188\n",
- "Epoch 1394/1400\n",
- "28/28 [==============================] - 0s 891us/step - loss: 0.3380 - mse: 0.3255\n",
- "Epoch 1395/1400\n",
- "28/28 [==============================] - 0s 916us/step - loss: 0.3404 - mse: 0.3204\n",
- "Epoch 1396/1400\n",
- "28/28 [==============================] - 0s 991us/step - loss: 0.3322 - mse: 0.3203\n",
- "Epoch 1397/1400\n",
- "28/28 [==============================] - 0s 884us/step - loss: 0.3304 - mse: 0.3268\n",
- "Epoch 1398/1400\n",
- "28/28 [==============================] - 0s 933us/step - loss: 0.3310 - mse: 0.3221\n",
- "Epoch 1399/1400\n",
- "28/28 [==============================] - 0s 861us/step - loss: 0.3268 - mse: 0.3206\n",
- "Epoch 1400/1400\n",
- "28/28 [==============================] - 0s 932us/step - loss: 0.3366 - mse: 0.3248\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"model = Sequential()\n",
- "model.add(Dense(100, input_dim = X_train.shape[1], activation='relu'))\n",
+ "model.add(Dense(2000, input_dim = X_train.shape[1], activation='relu'))\n",
"model.add(Dense(1))\n",
"model.compile(loss='mae', optimizer=keras.optimizers.adam_v2.Adam(learning_rate=0.001), metrics=['mse'])\n",
- "history = model.fit(X_train, y_train, epochs=1400)"
+ "history = model.fit(X_train, y_train, epochs=300)"
]
},
{
"cell_type": "code",
- "execution_count": 437,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "1.2020128423439302\n",
- "0.5789823493744719\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"print(np.linalg.norm(model.predict(X_valid).T - y_valid)/np.sqrt(len(y_valid)))\n",
"print(np.linalg.norm(model.predict(X_train).T - y_train)/np.sqrt(len(y_train)))"
@@ -3943,11 +1014,11 @@
},
{
"cell_type": "code",
- "execution_count": 438,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
- "prediction = model.predict(X)\n",
+ "prediction = model.predict(data_test_Temperature.iloc[:,:-1])\n",
"np.savetxt('my_Temperature_prediction.csv', prediction, delimiter=',') "
]
},
@@ -3956,6 +1027,24 @@
"execution_count": null,
"metadata": {},
"outputs": [],
+ "source": [
+ "plt.hist(y_train)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "np.histogram(y, bins='stone')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
"source": []
},
{
diff --git a/freezing_fritz/my_Temperature_prediction.csv b/freezing_fritz/my_Temperature_prediction.csv
@@ -1,1095 +1,100 @@
-1.739003372192382812e+01
-1.703438186645507812e+01
-1.458685588836669922e+01
-2.735567283630371094e+01
-2.372730445861816406e+01
-1.949417686462402344e+01
-2.020264816284179688e+01
-2.476569175720214844e+01
-2.817899703979492188e+01
-2.175957298278808594e+01
-2.278872108459472656e+01
-2.668678283691406250e+01
-2.446305084228515625e+01
-1.170280361175537109e+01
-2.852944374084472656e+01
-1.046117305755615234e+01
-1.451819324493408203e+01
-2.229554557800292969e+01
-2.727735519409179688e+01
-2.217292022705078125e+01
-2.518337821960449219e+01
-1.779835700988769531e+01
-1.043066406250000000e+01
-1.212004375457763672e+01
-2.667145729064941406e+01
-3.414160919189453125e+01
-2.783969306945800781e+01
-1.752221107482910156e+01
-2.995343780517578125e+01
-2.460744667053222656e+01
-2.557556533813476562e+01
-3.055506896972656250e+01
-2.787782669067382812e+01
-1.204789352416992188e+01
-2.093654251098632812e+01
-2.772966194152832031e+01
-1.111606502532958984e+01
-2.751813125610351562e+01
-1.933467102050781250e+01
-2.265352439880371094e+01
-1.810347557067871094e+01
-1.486196041107177734e+01
-2.544631958007812500e+01
-2.941916656494140625e+01
-2.056132698059082031e+01
-1.677503204345703125e+01
-7.860018730163574219e+00
-2.039245796203613281e+01
-2.779754829406738281e+01
-1.633626556396484375e+01
-2.097802925109863281e+01
-2.816021347045898438e+01
-2.183870887756347656e+01
-1.577346324920654297e+01
-2.677381134033203125e+01
-1.720050239562988281e+01
-2.670717811584472656e+01
-1.623503303527832031e+01
-3.109338951110839844e+01
-2.341761207580566406e+01
-2.265920066833496094e+01
-2.378648948669433594e+01
-2.772406196594238281e+01
-3.033737373352050781e+01
-6.315141677856445312e+00
-2.575766372680664062e+01
-2.101551246643066406e+01
-1.936723136901855469e+01
-2.169116592407226562e+01
-2.858115005493164062e+01
-5.513802528381347656e+00
-3.043303871154785156e+01
-2.947307777404785156e+01
-2.620490455627441406e+01
-2.275111198425292969e+01
-2.636860084533691406e+01
-2.162012672424316406e+01
-1.121767711639404297e+01
-2.004649353027343750e+01
-1.181112670898437500e+01
-2.999391365051269531e+01
-1.352868556976318359e+01
-8.207479476928710938e+00
-2.679109001159667969e+01
-3.151724624633789062e+01
-1.980534744262695312e+01
-2.378025627136230469e+01
-1.863692283630371094e+01
-1.141410064697265625e+01
-2.388721847534179688e+01
-2.485717391967773438e+01
-2.546523094177246094e+01
-1.796540260314941406e+01
-1.827904891967773438e+01
-1.825882530212402344e+01
-2.558901596069335938e+01
-3.039409637451171875e+01
-2.304717636108398438e+01
-2.472995567321777344e+01
-2.949163627624511719e+01
-1.447834300994873047e+01
-2.753016281127929688e+01
-1.315903663635253906e+01
-1.940066719055175781e+01
-1.400625038146972656e+01
-7.371695518493652344e+00
-2.201669311523437500e+01
-2.780678749084472656e+01
-2.209412574768066406e+01
-2.053885841369628906e+01
-6.291197776794433594e+00
-8.007976531982421875e+00
-2.305886077880859375e+01
-2.445676231384277344e+01
-2.408299827575683594e+01
-2.360675430297851562e+01
-6.152635574340820312e+00
-2.920841979980468750e+01
-2.999212265014648438e+01
-1.500043678283691406e+01
-7.504076957702636719e+00
-2.143437576293945312e+01
-9.694784164428710938e+00
-2.243956375122070312e+01
-2.078668594360351562e+01
-1.414988708496093750e+01
-2.991633224487304688e+01
-2.156396293640136719e+01
-2.613548469543457031e+01
-2.372164916992187500e+01
-1.859928703308105469e+01
-2.379679298400878906e+01
-2.044381141662597656e+00
-1.913102912902832031e+01
-1.542756843566894531e+01
-2.674736785888671875e+01
-2.736461067199707031e+01
-2.265677261352539062e+01
-2.114606285095214844e+01
-9.593296051025390625e+00
-2.298260879516601562e+01
-2.218472290039062500e+01
-1.810626602172851562e+01
-1.495518398284912109e+01
-2.968897056579589844e+01
-3.044320297241210938e+01
-1.434336090087890625e+01
-1.933965492248535156e+01
-1.781789970397949219e+01
-2.484067344665527344e+01
-2.675477790832519531e+01
-2.722840690612792969e+01
-1.420627880096435547e+01
-2.506766700744628906e+01
-2.397147941589355469e+01
-2.506688880920410156e+01
-1.416391754150390625e+01
-2.121134948730468750e+01
-2.195553779602050781e+01
-1.854758644104003906e+01
-2.969206047058105469e+01
-2.859363174438476562e+01
-3.300074386596679688e+01
-1.870024681091308594e+01
-1.489997577667236328e+01
-2.216149139404296875e+01
-2.365657424926757812e+01
-3.635531663894653320e+00
-2.646143913269042969e+01
-1.778031349182128906e+01
-2.674301338195800781e+01
-2.231033134460449219e+01
-2.030700111389160156e+01
-2.269850730895996094e+01
-2.353820037841796875e+01
-2.526716804504394531e+01
-2.640502548217773438e+01
-2.394188690185546875e+01
-1.886295127868652344e+01
-8.284470558166503906e+00
-1.730770111083984375e+01
-1.952691268920898438e+01
-2.259804916381835938e+01
-1.884336280822753906e+01
-1.895935058593750000e+01
-1.463496017456054688e+01
-2.565281295776367188e+01
-2.311111831665039062e+01
-1.950986099243164062e+01
-1.614190101623535156e+01
-2.537599945068359375e+01
-2.979374885559082031e+01
-1.200687408447265625e+01
-2.675519752502441406e+01
-2.433918190002441406e+01
-2.574398803710937500e+01
-2.638951873779296875e+01
-2.309197425842285156e+01
-2.646950340270996094e+01
-1.425481605529785156e+01
-1.473744392395019531e+01
-2.573902511596679688e+01
-1.783631896972656250e+01
-2.946637535095214844e+01
-2.404093551635742188e+01
-2.195885467529296875e+01
-1.861860084533691406e+01
-1.638982963562011719e+01
-7.667815208435058594e+00
-1.463588333129882812e+01
-1.193067550659179688e+01
-1.894881439208984375e+01
-2.321268081665039062e+01
-1.520240592956542969e+01
-2.350512123107910156e+01
-2.587816238403320312e+01
-1.380438613891601562e+01
-1.070346450805664062e+01
-2.380971527099609375e+01
-1.992803764343261719e+01
-2.386861038208007812e+01
-2.726887512207031250e+01
-1.407375621795654297e+01
-1.608324050903320312e+01
-2.217713737487792969e+01
-1.130912208557128906e+01
-2.792666625976562500e+01
-1.872998428344726562e+01
-2.729232978820800781e+01
-2.586965942382812500e+01
-2.679250717163085938e+01
-2.318503761291503906e+01
-2.249411582946777344e+01
-6.364023208618164062e+00
-6.069174766540527344e+00
-1.113494491577148438e+01
-2.160399436950683594e+01
-1.145186519622802734e+01
-1.411695194244384766e+01
-2.156834411621093750e+01
-1.280413150787353516e+01
-2.370253562927246094e+01
-2.768372344970703125e+01
-1.976366615295410156e+01
-6.663804054260253906e+00
-1.186195755004882812e+01
-9.296862602233886719e+00
-1.988741874694824219e+01
-2.291441726684570312e+01
-2.646705627441406250e+01
-9.505590438842773438e+00
-1.003365039825439453e+01
-2.674564743041992188e+01
-2.172267913818359375e+01
-2.099220466613769531e+01
-2.834712600708007812e+01
-1.835032844543457031e+01
-2.840525436401367188e+01
-1.800075149536132812e+01
-2.697685050964355469e+01
-8.824644088745117188e+00
-2.226457214355468750e+01
-3.145291328430175781e+01
-2.378178215026855469e+01
-1.549038124084472656e+01
-3.003944015502929688e+01
-2.889045906066894531e+01
-7.599902153015136719e+00
-2.952841186523437500e+01
-2.284141159057617188e+01
-2.122255706787109375e+01
-1.319759654998779297e+01
-2.274951171875000000e+01
-5.239407539367675781e+00
-2.084289360046386719e+01
-2.897906494140625000e+01
-1.956688117980957031e+01
-2.097509002685546875e+01
-1.377576446533203125e+01
-2.223945808410644531e+01
-2.375472259521484375e+01
-1.767196083068847656e+01
-1.328923225402832031e+01
-1.998207473754882812e+01
-3.120400047302246094e+01
-2.366275215148925781e+01
-2.475995063781738281e+01
-2.936161613464355469e+01
-1.856406402587890625e+01
-1.193674659729003906e+01
-2.837668037414550781e+01
-1.076670360565185547e+01
-2.743103599548339844e+01
-2.031652450561523438e+01
-2.419997978210449219e+01
-1.916721725463867188e+01
-2.022584152221679688e+01
-2.542338562011718750e+01
-1.521834754943847656e+01
-2.935646057128906250e+01
-1.772673606872558594e+01
-1.141167163848876953e+01
-1.185994625091552734e+01
-1.607400703430175781e+01
-2.057524490356445312e+01
-9.966057777404785156e+00
-3.411348342895507812e+01
-2.736248207092285156e+01
-3.083820724487304688e+01
-2.488055038452148438e+01
-2.199399757385253906e+01
-2.169065284729003906e+01
-1.910923576354980469e+01
-1.827387237548828125e+01
-2.873503112792968750e+01
-2.585782432556152344e+01
-2.810394287109375000e+01
-2.161184883117675781e+01
-2.174446678161621094e+01
-2.504839897155761719e+01
-2.512068939208984375e+01
-2.420058059692382812e+01
-2.418577194213867188e+01
-9.173667907714843750e+00
-1.092241191864013672e+01
-1.258231353759765625e+01
-5.123420715332031250e+00
-1.766071891784667969e+01
-5.179624557495117188e+00
-1.259715652465820312e+01
-1.940769386291503906e+01
-7.738086700439453125e+00
-7.697830200195312500e+00
-1.029605293273925781e+01
-2.825266265869140625e+01
-2.074209976196289062e+01
-1.981691551208496094e+01
-3.168190002441406250e+01
-2.671281051635742188e+01
-1.525177955627441406e+01
-1.787035942077636719e+01
-7.342603683471679688e+00
-2.110942459106445312e+01
-2.080342483520507812e+01
-2.231458091735839844e+01
-2.367999076843261719e+01
-1.137865924835205078e+01
-9.880219459533691406e+00
-1.433711910247802734e+01
-2.339319610595703125e+01
-1.162351608276367188e+01
-1.877458763122558594e+01
-1.910491371154785156e+01
-2.159823226928710938e+01
-2.263371658325195312e+01
-1.196082210540771484e+01
-2.105238342285156250e+01
-2.594205665588378906e+01
-1.060643482208251953e+01
-1.970929145812988281e+01
-2.233293724060058594e+01
-2.044903564453125000e+01
-2.427994728088378906e+01
-2.497875976562500000e+01
-3.264579772949218750e+01
-2.258521652221679688e+01
-2.577629852294921875e+01
-2.270256233215332031e+01
-1.229718399047851562e+01
-3.161505889892578125e+01
-1.452007961273193359e+01
-2.243471717834472656e+01
-2.580060195922851562e+01
-2.547892761230468750e+01
-2.958903503417968750e+01
-1.006113052368164062e+01
-1.544049549102783203e+01
-2.172563362121582031e+01
-2.109865760803222656e+01
-1.422281169891357422e+01
-1.144527626037597656e+01
-2.354433822631835938e+01
-2.462812805175781250e+01
-1.141616725921630859e+01
-2.482009315490722656e+01
-9.898540496826171875e+00
-1.755676460266113281e+01
-1.853631401062011719e+01
-1.796484589576721191e+00
-2.591146087646484375e+01
-2.478212928771972656e+01
-2.900680541992187500e+01
-1.161315536499023438e+01
-1.782450485229492188e+01
-2.392451095581054688e+01
-1.571172046661376953e+01
-2.523799324035644531e+01
-2.168599700927734375e+01
-2.323910331726074219e+01
-2.665389060974121094e+01
-2.434087181091308594e+01
-1.538977432250976562e+01
-2.787034225463867188e+01
-2.502217674255371094e+01
-2.003292846679687500e+01
-8.602859497070312500e+00
-2.280053710937500000e+01
-1.993277931213378906e+01
-1.128469085693359375e+01
-1.194272518157958984e+01
-1.575348091125488281e+01
-1.958125686645507812e+01
-2.552066993713378906e+01
-1.166990184783935547e+01
-2.540418624877929688e+01
-1.669077682495117188e+01
-1.768011093139648438e+01
-2.051426315307617188e+01
-1.378667831420898438e+01
-2.253164291381835938e+01
-2.198850059509277344e+01
-1.107475185394287109e+01
-8.219948768615722656e+00
-2.344474411010742188e+01
-1.737803077697753906e+01
-2.825863265991210938e+01
-1.481761741638183594e+01
-5.598011970520019531e+00
-2.639954185485839844e+01
-1.852050781250000000e+01
-1.511740875244140625e+01
-1.541221714019775391e+01
-2.735268402099609375e+01
-1.409042644500732422e+01
-2.540560150146484375e+01
-2.245216751098632812e+01
-1.639696884155273438e+01
-2.778687095642089844e+01
-1.393123626708984375e+01
-1.786541938781738281e+01
-2.334206008911132812e+01
-2.095549392700195312e+01
-2.357621574401855469e+01
-2.136136245727539062e+01
-2.330482101440429688e+01
-1.004647636413574219e+01
-6.702210426330566406e+00
-5.313612937927246094e+00
-1.242830753326416016e+01
-1.919835853576660156e+01
-1.740712928771972656e+01
-2.651363372802734375e+01
-2.877844619750976562e+01
-2.531808090209960938e+01
-2.133748245239257812e+01
-2.523946952819824219e+01
-8.585021972656250000e+00
-1.049278450012207031e+01
-2.101338195800781250e+01
-1.536688137054443359e+01
-2.854798698425292969e+01
-2.068108940124511719e+01
-2.833886146545410156e+01
-1.441249465942382812e+01
-2.565354728698730469e+01
-1.966604232788085938e+01
-1.324419212341308594e+01
-3.110352325439453125e+01
-1.449472332000732422e+01
-3.302557754516601562e+01
-2.636998558044433594e+01
-2.449532890319824219e+01
-3.117124557495117188e+01
-9.876792907714843750e+00
-5.223421096801757812e+00
-1.635074996948242188e+01
-2.425080108642578125e+01
-2.287322998046875000e+01
-1.195653152465820312e+01
-5.365385055541992188e+00
-1.330581188201904297e+01
-2.321958732604980469e+01
-3.200197219848632812e+01
-1.339534091949462891e+01
-1.792439842224121094e+01
-2.024610710144042969e+01
-2.079120445251464844e+01
-1.589424514770507812e+01
-2.305493164062500000e+01
-2.183654403686523438e+01
-2.347546386718750000e+01
-2.396352386474609375e+01
-2.621778297424316406e+01
-1.689242553710937500e+01
-3.165494537353515625e+01
-1.997338867187500000e+01
-1.451538944244384766e+01
-7.214018821716308594e+00
-2.476770591735839844e+01
-1.460702991485595703e+01
-3.033955192565917969e+01
-1.579874801635742188e+01
-1.557061290740966797e+01
-2.746921920776367188e+01
-2.941585922241210938e+01
-1.592411422729492188e+01
-2.336351013183593750e+01
-2.336727333068847656e+01
-1.978469848632812500e+01
-1.920832443237304688e+01
-1.841755104064941406e+01
-2.523412704467773438e+01
-2.055894470214843750e+01
-2.909232330322265625e+01
-1.028091621398925781e+01
-2.484493255615234375e+01
-1.631584548950195312e+01
-1.031986713409423828e+01
-2.345810317993164062e+01
-2.066143608093261719e+01
-2.480517768859863281e+01
-2.805890655517578125e+01
-6.339435577392578125e+00
-2.344747734069824219e+01
-2.168638610839843750e+01
-2.699175834655761719e+01
-2.888732528686523438e+01
-2.103840827941894531e+01
-1.926825141906738281e+01
-5.048055648803710938e+00
-2.331258201599121094e+01
-1.621548652648925781e+01
-1.803547286987304688e+01
-3.156404304504394531e+01
-3.029994392395019531e+01
-9.888021469116210938e+00
-3.071422958374023438e+01
-3.288132476806640625e+01
-2.727511596679687500e+01
-2.033053779602050781e+01
-2.605004882812500000e+01
-1.932594299316406250e+01
-2.853079795837402344e+01
-2.512036895751953125e+01
-2.691027832031250000e+01
-2.522598266601562500e+01
-2.336173248291015625e+01
-2.327249526977539062e+01
-1.864237213134765625e+01
-2.495448684692382812e+01
-6.987228393554687500e+00
-2.173110198974609375e+01
-2.069390869140625000e+01
-1.344887542724609375e+01
-1.467269611358642578e+01
-1.497689723968505859e+01
-2.483734703063964844e+01
-2.884799957275390625e+01
-1.975701522827148438e+01
-8.087750434875488281e+00
-2.438218688964843750e+01
-3.041847991943359375e+01
-1.038926315307617188e+01
-2.485404014587402344e+01
-2.232792091369628906e+01
-2.890334510803222656e+01
-1.093100261688232422e+01
-2.907765197753906250e+01
-2.074692153930664062e+01
-2.583992576599121094e+01
-2.786754989624023438e+01
-1.077740287780761719e+01
-1.470454978942871094e+01
-1.677681922912597656e+01
-1.446692276000976562e+01
-2.559078979492187500e+01
-2.189620780944824219e+01
-1.874583816528320312e+01
-2.907474708557128906e+01
-6.105884552001953125e+00
-2.454380607604980469e+01
-1.290921306610107422e+01
-2.643287849426269531e+01
-2.186827087402343750e+01
-1.703765296936035156e+01
-1.625490951538085938e+01
-1.731299400329589844e+01
-3.013707542419433594e+01
-1.817747688293457031e+01
-1.607658004760742188e+01
-1.682499313354492188e+01
-3.119265365600585938e+01
-2.587113380432128906e+01
-7.209726333618164062e+00
-2.932712936401367188e+01
-1.379616832733154297e+01
-1.561248779296875000e+01
-1.137459945678710938e+01
-1.725303840637207031e+01
-1.989707756042480469e+01
-3.204172849655151367e+00
-2.611606788635253906e+01
-2.777684211730957031e+01
-2.237745285034179688e+01
-1.434466838836669922e+00
-2.860979652404785156e+01
-3.148695707321166992e+00
-2.591281700134277344e+01
-8.188574790954589844e+00
-9.295192718505859375e+00
-1.906186485290527344e+01
-1.828386306762695312e+01
-4.891061782836914062e+00
-2.278137016296386719e+01
-1.967488288879394531e+01
-1.090964221954345703e+01
-2.313197135925292969e+01
-2.048322868347167969e+01
-2.281612586975097656e+01
-1.755848884582519531e+01
-8.555076599121093750e+00
-2.980781555175781250e+01
-9.037847518920898438e+00
-2.695403480529785156e+01
-2.580656433105468750e+01
-1.104904651641845703e+01
-2.355583000183105469e+01
-1.729609489440917969e+01
-1.138771152496337891e+01
-1.445558834075927734e+01
-2.543539047241210938e+01
-2.897411108016967773e+00
-8.496679306030273438e+00
-1.278202629089355469e+01
-2.500673484802246094e+01
-2.724590682983398438e+01
-2.312352371215820312e+01
-2.800816917419433594e+01
-8.168745994567871094e+00
-2.059272384643554688e+01
-1.489373970031738281e+01
-2.496979522705078125e+01
-1.694702148437500000e+01
-2.419287872314453125e+01
-2.266243553161621094e+01
-1.486289596557617188e+01
-2.229302024841308594e+01
-1.291260433197021484e+01
-2.129557609558105469e+01
-9.736210823059082031e+00
-7.291129112243652344e+00
-1.017036151885986328e+01
-7.375667572021484375e+00
-1.506964874267578125e+01
-1.884509849548339844e+01
-2.365550994873046875e+01
-1.279825973510742188e+01
-1.267668056488037109e+01
-2.396858787536621094e+01
-2.772203063964843750e+01
-2.538765907287597656e+01
-3.121510505676269531e+01
-1.977162933349609375e+01
-1.150194072723388672e+01
-1.978652954101562500e+01
-2.613798141479492188e+01
-1.278271961212158203e+01
-2.940043830871582031e+01
-2.010311508178710938e+01
-2.430408096313476562e+01
-2.461596107482910156e+01
-1.142899131774902344e+01
-2.524107360839843750e+01
-6.132467269897460938e+00
-2.032365417480468750e+01
-1.801456451416015625e+01
-3.036584854125976562e+01
-1.053923320770263672e+01
-8.833620071411132812e+00
-2.513271331787109375e+01
-2.908852386474609375e+01
-1.428985023498535156e+01
-7.817108154296875000e+00
-2.066064453125000000e+01
-1.622582435607910156e+01
-1.356332683563232422e+01
-1.016032505035400391e+01
-1.562479782104492188e+01
-2.657196998596191406e+01
-2.331358337402343750e+01
-2.220443344116210938e+01
-1.610907173156738281e+01
-2.604261016845703125e+01
-2.100331306457519531e+01
-2.314986991882324219e+01
-1.446976947784423828e+01
-1.412375068664550781e+01
-3.001316452026367188e+01
-1.741161155700683594e+01
-1.327074813842773438e+01
-2.503484725952148438e+01
-2.321007728576660156e+01
-2.380937767028808594e+01
-3.088659095764160156e+01
-1.572929859161376953e+01
-1.523347473144531250e+01
-1.491731071472167969e+01
-2.657563209533691406e+01
-2.623034286499023438e+01
-2.310317039489746094e+01
-1.408504199981689453e+01
-2.193136024475097656e+01
-2.031993484497070312e+01
-3.027736473083496094e+01
-1.453005886077880859e+01
-1.762229919433593750e+01
-1.887509155273437500e+01
-2.575605583190917969e+01
-2.198729705810546875e+01
-1.378529739379882812e+01
-2.749171066284179688e+01
-2.149430084228515625e+01
-2.788384437561035156e+01
-2.693905639648437500e+01
-2.298458862304687500e+01
-1.305514430999755859e+01
-2.533569717407226562e+01
-1.809430694580078125e+01
-1.946758651733398438e+01
-3.397981405258178711e+00
-3.265655517578125000e+01
-2.401652336120605469e+01
-1.890773963928222656e+01
-2.039382553100585938e+01
-1.941449165344238281e+01
-1.188962459564208984e+01
-1.876088905334472656e+01
-8.337269783020019531e+00
-1.851124763488769531e+01
-1.904135322570800781e+01
-1.071882534027099609e+01
-6.486130952835083008e-01
-6.856348037719726562e+00
-1.532675552368164062e+01
-2.102055931091308594e+01
-1.675797653198242188e+01
-7.167938232421875000e+00
-1.419423007965087891e+01
-3.076777076721191406e+01
-1.001661872863769531e+01
-2.230282783508300781e+01
-2.194381332397460938e+01
-2.329924392700195312e+01
-1.619164466857910156e+01
-1.080612659454345703e+01
-1.172161102294921875e+01
-2.156145286560058594e+01
-2.472893905639648438e+01
-2.542578125000000000e+01
-1.189957904815673828e+01
-2.045562744140625000e+01
-3.009205818176269531e+01
-3.013267135620117188e+01
-1.247837257385253906e+01
-2.217618942260742188e+00
-8.534726142883300781e+00
-2.750353622436523438e+01
-2.271146011352539062e+01
-2.256464767456054688e+01
-2.970575141906738281e+01
-1.639512062072753906e+01
-2.350797462463378906e+01
-2.672456169128417969e+01
-1.709889602661132812e+01
-2.580169105529785156e+01
-6.534317016601562500e+00
-2.416148567199707031e+01
-1.541118526458740234e+01
-1.987661552429199219e+01
-2.601538467407226562e+01
-2.513011550903320312e+01
-2.021877670288085938e+01
-1.804708480834960938e+01
-9.661384582519531250e+00
-2.353536987304687500e+01
-1.316787147521972656e+01
-2.154984283447265625e+01
-1.221042346954345703e+01
-2.040077400207519531e+01
-1.949210739135742188e+01
-3.408398056030273438e+01
-2.471894454956054688e+01
-5.193347930908203125e+00
-1.433870506286621094e+01
-2.386156845092773438e+01
-2.731099700927734375e+01
-2.287265396118164062e+01
-3.054439353942871094e+01
-2.864434814453125000e+01
-1.234614562988281250e+01
-1.410921573638916016e+01
-8.566281318664550781e+00
-2.577054405212402344e+01
-1.895754432678222656e+01
-1.385457134246826172e+01
-1.656801033020019531e+01
-2.120096588134765625e+01
-2.119086456298828125e+01
-2.219193077087402344e+01
-1.075878334045410156e+01
-2.077029991149902344e+01
-2.594396781921386719e+01
-2.642772865295410156e+01
-1.010768890380859375e+01
-2.942082977294921875e+01
-1.517137241363525391e+01
-2.303652763366699219e+01
-1.814712142944335938e+01
-2.232064819335937500e+01
-1.781010055541992188e+01
-1.302398204803466797e+01
-2.720864486694335938e+01
-1.871790122985839844e+01
-2.976187896728515625e+01
-2.694419479370117188e+01
-2.911861419677734375e+01
-2.756809997558593750e+01
-1.889237213134765625e+01
-1.623547554016113281e+01
-2.339226913452148438e+01
-2.637774276733398438e+01
-2.444978523254394531e+01
-1.969552230834960938e+01
-2.513368797302246094e+01
-1.104878997802734375e+01
-2.271259498596191406e+01
-1.964512062072753906e+01
-2.161117935180664062e+01
-2.073082351684570312e+01
-2.264367866516113281e+01
-2.306423187255859375e+01
-2.341442489624023438e+01
-1.015808010101318359e+01
-2.968408584594726562e+01
-2.803033065795898438e+01
-1.519745826721191406e+01
-2.468659591674804688e+01
-1.353867721557617188e+01
-2.637979125976562500e+01
-2.313324165344238281e+01
-2.279829216003417969e+01
-1.183792400360107422e+01
-1.004600334167480469e+01
-2.330564689636230469e+01
-2.784249687194824219e+01
-1.528710937500000000e+01
-2.705975341796875000e+01
-3.052758407592773438e+01
-1.745621299743652344e+01
-2.533421897888183594e+01
-2.834053802490234375e+01
-2.374776268005371094e+01
-1.646425437927246094e+01
-2.954777526855468750e+01
-2.248528099060058594e+01
-1.992339897155761719e+01
-2.511344718933105469e+01
-2.852486228942871094e+01
-6.262221336364746094e+00
-1.101444339752197266e+01
-2.299607086181640625e+01
-1.620055007934570312e+01
-2.358919715881347656e+01
-1.369397258758544922e+01
-2.254399490356445312e+01
-1.647052001953125000e+01
-1.042265605926513672e+01
-1.774977684020996094e+01
-2.251730537414550781e+01
-2.214887237548828125e+01
-1.492207622528076172e+01
-1.890859603881835938e+01
-1.564416694641113281e+01
-2.109988021850585938e+01
-2.603528976440429688e+01
-3.159477233886718750e+00
-1.987420272827148438e+01
-2.286054420471191406e+01
-3.558041810989379883e+00
-1.232241344451904297e+01
-2.198212432861328125e+01
-2.467091941833496094e+01
-2.875584602355957031e+01
-1.545245170593261719e+01
-2.533518028259277344e+01
-1.438460445404052734e+01
-2.118409729003906250e+01
-1.192469024658203125e+01
-3.097212028503417969e+01
-2.044713211059570312e+01
-2.047683715820312500e+01
-2.834124565124511719e+01
-2.000699806213378906e+01
-5.790080070495605469e+00
-2.194869804382324219e+01
-1.312885189056396484e+01
-2.171327590942382812e+01
-1.142436695098876953e+01
-1.197529315948486328e+01
-2.816616058349609375e+01
-1.083884620666503906e+01
-2.652363014221191406e+01
-2.869672393798828125e+01
-1.423018741607666016e+01
-1.472270870208740234e+01
-2.951435661315917969e+01
-1.741673851013183594e+01
-1.833845138549804688e+01
-2.630408096313476562e+01
-1.544980907440185547e+01
-3.089721679687500000e+01
-2.061902618408203125e+01
-3.095919799804687500e+01
-1.642478942871093750e+01
-1.668122673034667969e+01
-7.169614791870117188e+00
-2.816694450378417969e+01
-1.361366558074951172e+01
-1.625208854675292969e+01
-2.520562934875488281e+01
-6.847918510437011719e+00
-1.573967552185058594e+01
-2.991009521484375000e+01
-2.266452026367187500e+01
-2.170289421081542969e+01
-2.498222160339355469e+01
-9.669363021850585938e+00
-2.308146095275878906e+01
-2.624675178527832031e+01
-1.336666774749755859e+01
-2.104664993286132812e+01
-1.982044601440429688e+01
-2.472062683105468750e+01
-1.238172149658203125e+01
-2.321769905090332031e+01
-2.133058547973632812e+01
-7.226794242858886719e+00
-2.229706192016601562e+01
-1.390887451171875000e+01
-3.180567359924316406e+01
-1.454478168487548828e+01
-2.612604331970214844e+01
-6.245351791381835938e+00
-2.259845733642578125e+01
-2.680843734741210938e+01
-6.121374130249023438e+00
-1.686134719848632812e+01
-2.258662796020507812e+01
-2.776483154296875000e+01
-2.655050086975097656e+01
-2.112595939636230469e+01
-3.037526893615722656e+01
-2.981522750854492188e+01
-8.783649444580078125e+00
-1.937154388427734375e+01
-1.009048843383789062e+01
-3.864434242248535156e+00
-1.827293014526367188e+01
-1.971587944030761719e+01
-1.663932228088378906e+01
-1.431564521789550781e+01
-1.924398612976074219e+01
-1.230713653564453125e+01
-2.029215431213378906e+01
-2.181375694274902344e+01
-2.406856727600097656e+01
-1.726730537414550781e+01
-1.894828796386718750e+01
-2.681809043884277344e+01
-1.846935653686523438e+01
-2.416124153137207031e+01
-1.569764232635498047e+01
-2.870710372924804688e+01
-2.697143745422363281e+01
-1.993708038330078125e+01
-1.679302978515625000e+01
-1.805408287048339844e+01
-1.510772800445556641e+01
-1.587666893005371094e+01
-2.977468299865722656e+01
-1.838400268554687500e+01
-1.947986602783203125e+01
-1.907824897766113281e+01
-1.138370323181152344e+01
-2.460280799865722656e+01
-2.113328170776367188e+01
-2.598164939880371094e+01
-4.262832164764404297e+00
-1.496847438812255859e+01
-1.095336341857910156e+01
-2.941032218933105469e+01
-1.422797203063964844e+01
-2.965579223632812500e+01
-1.311868381500244141e+01
-8.001407623291015625e+00
-2.576201820373535156e+01
-1.808431625366210938e+01
-1.821328735351562500e+01
-2.276034736633300781e+01
-1.056710720062255859e+01
-2.393939018249511719e+01
-2.287660408020019531e+01
-2.608909416198730469e+01
-1.085391521453857422e+01
-1.033976936340332031e+01
-2.481206321716308594e+01
-9.302233695983886719e+00
-2.160942649841308594e+01
-2.323067855834960938e+01
-3.129739952087402344e+01
-8.691396713256835938e+00
-2.650061607360839844e+01
-2.937759017944335938e+01
-1.342949867248535156e+01
-1.329450130462646484e+01
-2.570823478698730469e+01
-2.557064247131347656e+01
-2.183447837829589844e+01
-3.190331077575683594e+01
-1.580999374389648438e+01
-2.828759765625000000e+01
-2.669031143188476562e+01
-1.617903137207031250e+01
-7.853814125061035156e+00
-2.018784523010253906e+01
-2.826932525634765625e+01
-2.250908279418945312e+01
-2.336280059814453125e+01
-2.474354171752929688e+01
-8.234790802001953125e+00
-1.397402667999267578e+01
-1.747876358032226562e+01
-2.362936973571777344e+01
-2.310643768310546875e+01
-3.110016441345214844e+01
-1.694551277160644531e+01
-2.813251304626464844e+01
-1.940037536621093750e+01
-1.483960819244384766e+01
-2.007424926757812500e+01
-9.729469299316406250e+00
-8.219245910644531250e+00
-2.717609214782714844e+01
-2.147466087341308594e+01
-2.457389259338378906e+01
-1.653541946411132812e+01
-1.315848922729492188e+01
-2.861826324462890625e+01
-6.088970184326171875e+00
-2.209238624572753906e+01
-2.116296577453613281e+01
-2.039999008178710938e+01
-2.380426788330078125e+01
-8.787151336669921875e+00
-1.218142795562744141e+01
-1.512351799011230469e+01
-2.244716262817382812e+01
-2.365126609802246094e+01
-1.301021957397460938e+01
-1.465426254272460938e+01
-2.301371955871582031e+01
-1.845693969726562500e+01
-2.605130767822265625e+01
-2.759129333496093750e+01
-2.612593460083007812e+01
-1.891808319091796875e+01
-2.448170852661132812e+01
-1.736877822875976562e+01
-1.567990303039550781e+01
-3.057299995422363281e+01
-2.372727394104003906e+01
-2.056087875366210938e+01
-1.023321437835693359e+01
-2.887419128417968750e+01
-1.211206436157226562e+00
-2.670470046997070312e+01
-2.897953796386718750e+01
-3.020512580871582031e+01
-2.289320945739746094e+01
-6.530587196350097656e+00
-3.942447423934936523e+00
-1.585894680023193359e+01
-1.346050548553466797e+01
-3.159690666198730469e+01
-1.926409721374511719e+01
+2.664768218994140625e+01
+2.470828056335449219e+01
+1.070143032073974609e+01
+1.443742656707763672e+01
+1.975181341171264648e+00
+1.531917762756347656e+01
+1.998170661926269531e+01
+2.609195137023925781e+01
+1.492371940612792969e+01
+4.446372032165527344e+00
+2.937122535705566406e+01
+1.910958290100097656e+01
+1.004033946990966797e+01
+2.972638320922851562e+01
+2.581489944458007812e+01
+2.941271209716796875e+01
+1.169552040100097656e+01
+2.545988464355468750e+01
+3.044189643859863281e+01
+3.047821807861328125e+01
+2.414061546325683594e+01
+1.240650939941406250e+01
+2.794766044616699219e+01
+1.469419002532958984e+01
+6.748741149902343750e+00
+1.884961128234863281e+01
+1.697884941101074219e+01
+1.334553909301757812e+01
+1.305717849731445312e+01
+1.047176742553710938e+01
+2.393003845214843750e+01
+1.162697982788085938e+01
+2.642150688171386719e+01
+2.734720802307128906e+01
+2.476393699645996094e+01
+2.626673126220703125e+01
+1.033425140380859375e+01
+1.589183616638183594e+01
+2.554628181457519531e+01
+2.425531196594238281e+01
+1.706945228576660156e+01
+1.397050094604492188e+01
+1.631915092468261719e+01
+2.346035957336425781e+01
+1.856877708435058594e+01
+2.119921875000000000e+01
+1.251370334625244141e+01
+2.315583038330078125e+01
+1.501400756835937500e+01
+2.051034545898437500e+01
+1.995016860961914062e+01
+2.999912452697753906e+01
+1.480536270141601562e+01
+2.864743041992187500e+01
+2.288597679138183594e+01
+8.133863449096679688e+00
+1.173522758483886719e+01
+1.101003742218017578e+01
+1.189103698730468750e+01
+9.917063713073730469e+00
+2.354244041442871094e+01
+1.787358665466308594e+01
+1.140457820892333984e+01
+2.000606727600097656e+01
+1.180469131469726562e+01
+2.045145416259765625e+01
+1.513591766357421875e+01
+2.303847312927246094e+01
+1.484771537780761719e+01
+8.172187805175781250e+00
+1.342027091979980469e+01
+2.536109733581542969e+01
+2.600667381286621094e+01
+1.490319061279296875e+01
+2.452847862243652344e+01
+1.696830368041992188e+01
+1.731396293640136719e+01
+2.421004486083984375e+01
+2.046115684509277344e+01
+1.378067302703857422e+01
+6.418259620666503906e+00
+2.894670867919921875e+01
+2.038560295104980469e+01
+8.746795654296875000e+00
+1.225010681152343750e+01
+1.538597106933593750e+01
+1.487073707580566406e+01
+2.961853218078613281e+01
+1.526558876037597656e+01
+1.950484275817871094e+01
+7.068383216857910156e+00
+2.209032058715820312e+01
+1.096205329895019531e+01
+1.161738204956054688e+01
+1.875363922119140625e+01
+9.736761093139648438e+00
+1.415633201599121094e+01
+1.655613899230957031e+01
+1.058963298797607422e+01
+1.723308944702148438e+01
diff --git a/lecture.ipynb b/lecture.ipynb
@@ -115,24 +115,56 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 31,
"id": "fcc108f0",
"metadata": {},
"outputs": [],
- "source": []
+ "source": [
+ "n = 10\n",
+ "d = 4 \n",
+ "ω = lambda i, j : np.exp(-2*np.pi *1j/n * (i-1) * (j-1))\n",
+ "H = np.zeros([n, d], dtype='complex')\n",
+ "for i in range(n):\n",
+ " for j in range(d):\n",
+ " H[i, j] = 1/np.sqrt(n) * ω(i, j)"
+ ]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 33,
"id": "1de22922",
"metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[ 1.+0.j, -0.-0.j, 0.-0.j, 0.-0.j],\n",
+ " [-0.+0.j, 1.+0.j, -0.-0.j, -0.-0.j],\n",
+ " [ 0.+0.j, -0.+0.j, 1.+0.j, -0.-0.j],\n",
+ " [ 0.+0.j, -0.+0.j, -0.+0.j, 1.+0.j]])"
+ ]
+ },
+ "execution_count": 33,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "np.round((np.conjugate(H).T @ H), 1)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "87ef752d",
+ "metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
- "id": "87ef752d",
+ "id": "3797e92d",
"metadata": {},
"outputs": [],
"source": []
