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docmarionum1/autoencode-mnist.ipynb

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Autoencode MNIST
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autoencode-mnist.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Autoencode MNIST",
"version": "0.3.2",
"provenance": [],
"collapsed_sections": [],
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/docmarionum1/03fcd2d80119199c7a8ba3abc3019f14/autoencode-mnist.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"metadata": {
"id": "UkNLlSWcu9ET",
"colab_type": "code",
"colab": {}
},
"source": [
"// Test\n",
"from keras.datasets import mnist\n",
"import keras"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "Mpq7qdFou_Os",
"colab_type": "code",
"outputId": "72983f31-bbd5-481d-fe05-14b1b90cb555",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 51
}
},
"source": [
"(x_train, y_train), (x_test, y_test) = mnist.load_data()"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"Downloading data from https://s3.amazonaws.com/img-datasets/mnist.npz\n",
"11493376/11490434 [==============================] - 3s 0us/step\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "hhaiOil3vGj6",
"colab_type": "code",
"outputId": "61e7ac08-69f6-4b70-d36f-3638728a2734",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
}
},
"source": [
"x_train.shape"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(60000, 28, 28)"
]
},
"metadata": {
"tags": []
},
"execution_count": 5
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "YMyk9MzVPPEE",
"colab_type": "code",
"outputId": "7720a274-2de9-40eb-bef3-9bcc7d97db51",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 51
}
},
"source": [
"y_train[:20]"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([5, 0, 4, 1, 9, 2, 1, 3, 1, 4, 3, 5, 3, 6, 1, 7, 2, 8, 6, 9],\n",
" dtype=uint8)"
]
},
"metadata": {
"tags": []
},
"execution_count": 165
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "qKev_WxQPVIt",
"colab_type": "code",
"outputId": "29fc8d16-5547-49b5-ecdb-efffec728d8b",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
}
},
"source": [
"y_train[[0,1,2,3,4,5,7,13,15,17]]"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([5, 0, 4, 1, 9, 2, 3, 6, 7, 8], dtype=uint8)"
]
},
"metadata": {
"tags": []
},
"execution_count": 169
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "PTzF3OmXzaJD",
"colab_type": "code",
"colab": {}
},
"source": [
"y_train2 = keras.utils.to_categorical(y_train)"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "G7I_wyxEvKiY",
"colab_type": "code",
"outputId": "3b5147a6-aab9-4ef0-e544-34785818991e",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 204
}
},
"source": [
"from keras.models import Sequential\n",
"from keras.layers import Dense, Flatten, Input, Reshape, Conv2D, MaxPooling2D\n",
"\n",
"model = Sequential()\n",
"#model.add(Dense(units=64, activation='relu', input_shape=(28,28)))\n",
"model.add(Dense(units=64, activation='relu', input_dim=(28*28)))\n",
"model.add(Dense(units=64, activation='relu'))\n",
"model.add(Dense(units=64, activation='relu'))\n",
"#model.add(Input(shape=(28,28)))\n",
"#model.add(Flatten())\n",
"#model.add(Dense(units=10, activation='relu'))\n",
"'''model.add(Dense(units=10, activation='softmax'))\n",
"model.compile(loss='categorical_crossentropy',\n",
" optimizer='rmsprop',\n",
" metrics=['accuracy'])'''\n",
"\n",
"model.add(Dense(units=28*28, activation='relu'))\n",
"model.add(Reshape((28,28)))\n",
"model.compile(loss='mean_squared_error', optimizer='sgd', metrics=['mse'])\n",
"\n",
"model.fit(x_train.reshape((60000,-1)), x_train, epochs=5, batch_size=32)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"Epoch 1/5\n",
"60000/60000 [==============================] - 10s 173us/step - loss: inf - mean_squared_error: inf\n",
"Epoch 2/5\n",
"60000/60000 [==============================] - 10s 172us/step - loss: 7204.1494 - mean_squared_error: 7204.1494\n",
"Epoch 3/5\n",
"31040/60000 [==============>...............] - ETA: 5s - loss: 7210.6787 - mean_squared_error: 7210.6787"
],
"name": "stdout"
},
{
"output_type": "stream",
"text": [
"60000/60000 [==============================] - 11s 175us/step - loss: 7204.1486 - mean_squared_error: 7204.1486\n",
"Epoch 4/5\n",
"60000/60000 [==============================] - 11s 176us/step - loss: 7204.1489 - mean_squared_error: 7204.1489\n",
"Epoch 5/5\n",
"38144/60000 [==================>...........] - ETA: 3s - loss: 7202.1539 - mean_squared_error: 7202.1539"
],
"name": "stdout"
},
{
"output_type": "stream",
"text": [
"60000/60000 [==============================] - 11s 175us/step - loss: 7204.1498 - mean_squared_error: 7204.1498\n"
],
"name": "stdout"
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<keras.callbacks.History at 0x7f54e0d4a198>"
]
},
"metadata": {
"tags": []
},
"execution_count": 50
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "pS5tdOmB5cOM",
"colab_type": "code",
"outputId": "1f7d3d3f-8ceb-41aa-f601-2f45bd4fa16a",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 3434
}
},
"source": [
"from keras.models import Sequential\n",
"from keras.layers import Dense, Flatten, Input, Reshape, Conv2D, MaxPooling2D, Dropout\n",
"\n",
"model = Sequential()\n",
"model.add(Conv2D(32, (3,3), activation='relu', input_shape=(28,28, 1)))\n",
"model.add(Conv2D(32, (3, 3), activation='relu'))\n",
"model.add(MaxPooling2D(pool_size=(2,2)))\n",
"model.add(Dropout(0.25))\n",
"\n",
"model.add(Conv2D(64, (3, 3), activation='relu'))\n",
"model.add(Conv2D(64, (3, 3), activation='relu'))\n",
"model.add(MaxPooling2D(pool_size=(2, 2)))\n",
"model.add(Dropout(0.25))\n",
"model.add(Flatten())\n",
"#model.add(Dense(units=64, activation='relu', input_shape=(28,28)))\n",
"#model.add(Dense(units=64, activation='relu', input_dim=(28*28)))\n",
"#model.add(Dense(units=64, activation='relu'))\n",
"#model.add(Dense(units=64, activation='relu'))\n",
"#model.add(Input(shape=(28,28)))\n",
"#model.add(Flatten())\n",
"#model.add(Dense(units=10, activation='relu'))\n",
"'''model.add(Dense(units=10, activation='softmax'))\n",
"model.compile(loss='categorical_crossentropy',\n",
" optimizer='rmsprop',\n",
" metrics=['accuracy'])'''\n",
"model.add(Dense(units=128, activation='relu'))\n",
"model.add(Dense(units=20, activation='relu'))\n",
"\n",
"model2 = Sequential()\n",
"#model2.add(model)\n",
"model2.add(Dense(units=128, activation='relu', input_dim=20))\n",
"model2.add(Dense(units=128, activation='relu'))\n",
"model2.add(Dense(units=28*28, activation='relu'))\n",
"model2.add(Reshape((28,28)))\n",
"\n",
"model.add(model2)\n",
"model.compile(loss='mean_squared_error', optimizer='adam', metrics=['mae'])\n",
"\n",
"model.fit(x_train.reshape((60000, 28, 28, 1))[[0,1,2,3,4,5,7,13,15,17]], x_train[[0,1,2,3,4,5,7,13,15,17]], epochs=100, batch_size=1)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"Epoch 1/100\n",
"10/10 [==============================] - 2s 244ms/step - loss: 6733.3794 - mean_absolute_error: 38.0692\n",
"Epoch 2/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 5582.5420 - mean_absolute_error: 34.0681\n",
"Epoch 3/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 5321.2958 - mean_absolute_error: 32.5951\n",
"Epoch 4/100\n",
"10/10 [==============================] - 0s 12ms/step - loss: 5205.4418 - mean_absolute_error: 31.7477\n",
"Epoch 5/100\n",
"10/10 [==============================] - 0s 15ms/step - loss: 5261.6271 - mean_absolute_error: 31.8921\n",
"Epoch 6/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 5044.8353 - mean_absolute_error: 31.7495\n",
"Epoch 7/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 5051.9802 - mean_absolute_error: 31.8463\n",
"Epoch 8/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 5083.7803 - mean_absolute_error: 31.7922\n",
"Epoch 9/100\n",
"10/10 [==============================] - 0s 15ms/step - loss: 5083.1535 - mean_absolute_error: 31.3736\n",
"Epoch 10/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 5042.0081 - mean_absolute_error: 31.9365\n",
"Epoch 11/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 4949.4684 - mean_absolute_error: 31.6230\n",
"Epoch 12/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 4953.1372 - mean_absolute_error: 31.5350\n",
"Epoch 13/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 4859.7356 - mean_absolute_error: 31.0668\n",
"Epoch 14/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 4834.6161 - mean_absolute_error: 30.9966\n",
"Epoch 15/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 4785.6746 - mean_absolute_error: 30.5686\n",
"Epoch 16/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 4705.1812 - mean_absolute_error: 30.0901\n",
"Epoch 17/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 4568.8372 - mean_absolute_error: 29.1824\n",
"Epoch 18/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 4484.7044 - mean_absolute_error: 29.3091\n",
"Epoch 19/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 4281.4589 - mean_absolute_error: 27.9608\n",
"Epoch 20/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 4131.3956 - mean_absolute_error: 27.2567\n",
"Epoch 21/100\n",
" 5/10 [==============>...............] - ETA: 0s - loss: 3581.0093 - mean_absolute_error: 24.5863"
],
"name": "stdout"
},
{
"output_type": "stream",
"text": [
"10/10 [==============================] - 0s 14ms/step - loss: 4013.0765 - mean_absolute_error: 26.7240\n",
"Epoch 22/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 3864.0555 - mean_absolute_error: 26.1970\n",
"Epoch 23/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 3932.5975 - mean_absolute_error: 26.0643\n",
"Epoch 24/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 3730.7448 - mean_absolute_error: 25.1171\n",
"Epoch 25/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 3617.1362 - mean_absolute_error: 24.9656\n",
"Epoch 26/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 3439.1230 - mean_absolute_error: 23.9041\n",
"Epoch 27/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 3402.5773 - mean_absolute_error: 23.2060\n",
"Epoch 28/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 3372.6912 - mean_absolute_error: 23.1046\n",
"Epoch 29/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 3152.2931 - mean_absolute_error: 22.3200\n",
"Epoch 30/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 3004.5303 - mean_absolute_error: 20.9280\n",
"Epoch 31/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 2781.4330 - mean_absolute_error: 19.6241\n",
"Epoch 32/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 2835.2786 - mean_absolute_error: 19.9831\n",
"Epoch 33/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 2895.0470 - mean_absolute_error: 19.8963\n",
"Epoch 34/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 3159.9293 - mean_absolute_error: 21.1947\n",
"Epoch 35/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 2794.2014 - mean_absolute_error: 19.7791\n",
"Epoch 36/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 2524.3535 - mean_absolute_error: 18.2134\n",
"Epoch 37/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 2410.3101 - mean_absolute_error: 17.7082\n",
"Epoch 38/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 2321.6173 - mean_absolute_error: 16.7891\n",
"Epoch 39/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 2178.3495 - mean_absolute_error: 15.8175\n",
"Epoch 40/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 2061.5776 - mean_absolute_error: 15.1508\n",
"Epoch 41/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1980.0811 - mean_absolute_error: 14.3280\n"
],
"name": "stdout"
},
{
"output_type": "stream",
"text": [
"Epoch 42/100\n",
"10/10 [==============================] - 0s 12ms/step - loss: 1903.8280 - mean_absolute_error: 13.5417\n",
"Epoch 43/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1999.2143 - mean_absolute_error: 14.5282\n",
"Epoch 44/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1988.3222 - mean_absolute_error: 14.2757\n",
"Epoch 45/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1810.7715 - mean_absolute_error: 12.5877\n",
"Epoch 46/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1849.3492 - mean_absolute_error: 13.0238\n",
"Epoch 47/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1955.1485 - mean_absolute_error: 14.0695\n",
"Epoch 48/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 2408.6631 - mean_absolute_error: 17.4905\n",
"Epoch 49/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 2330.4980 - mean_absolute_error: 16.3164\n",
"Epoch 50/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 2109.0325 - mean_absolute_error: 14.8885\n",
"Epoch 51/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 2301.9350 - mean_absolute_error: 16.5746\n",
"Epoch 52/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 2096.1306 - mean_absolute_error: 15.2043\n",
"Epoch 53/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1909.7947 - mean_absolute_error: 13.7071\n",
"Epoch 54/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1855.6498 - mean_absolute_error: 13.2633\n",
"Epoch 55/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1772.0764 - mean_absolute_error: 12.1743\n",
"Epoch 56/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1728.2476 - mean_absolute_error: 11.7469\n",
"Epoch 57/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1674.9726 - mean_absolute_error: 11.0802\n",
"Epoch 58/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1636.8266 - mean_absolute_error: 10.5859\n",
"Epoch 59/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1901.6390 - mean_absolute_error: 13.4450\n",
"Epoch 60/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1768.0646 - mean_absolute_error: 11.9904\n",
"Epoch 61/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1755.0993 - mean_absolute_error: 12.0260\n",
"Epoch 62/100\n",
" 5/10 [==============>...............] - ETA: 0s - loss: 1908.0919 - mean_absolute_error: 12.8863"
],
"name": "stdout"
},
{
"output_type": "stream",
"text": [
"10/10 [==============================] - 0s 14ms/step - loss: 1953.4418 - mean_absolute_error: 13.8370\n",
"Epoch 63/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1898.1360 - mean_absolute_error: 13.6814\n",
"Epoch 64/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1809.0847 - mean_absolute_error: 12.3388\n",
"Epoch 65/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 2054.5833 - mean_absolute_error: 14.8655\n",
"Epoch 66/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1918.4077 - mean_absolute_error: 13.6228\n",
"Epoch 67/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 2191.2707 - mean_absolute_error: 15.4489\n",
"Epoch 68/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 2203.0540 - mean_absolute_error: 16.0174\n",
"Epoch 69/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 2076.3325 - mean_absolute_error: 14.9373\n",
"Epoch 70/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1970.4050 - mean_absolute_error: 14.3395\n",
"Epoch 71/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1903.8144 - mean_absolute_error: 13.9078\n",
"Epoch 72/100\n",
"10/10 [==============================] - 0s 15ms/step - loss: 1782.2523 - mean_absolute_error: 12.8461\n",
"Epoch 73/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1848.3066 - mean_absolute_error: 13.4904\n",
"Epoch 74/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1757.5872 - mean_absolute_error: 12.1851\n",
"Epoch 75/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1701.7195 - mean_absolute_error: 11.7130\n",
"Epoch 76/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1701.9168 - mean_absolute_error: 11.8657\n",
"Epoch 77/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1550.0354 - mean_absolute_error: 9.3834\n",
"Epoch 78/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1650.2111 - mean_absolute_error: 10.9717\n",
"Epoch 79/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1672.9943 - mean_absolute_error: 11.1054\n",
"Epoch 80/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1624.8385 - mean_absolute_error: 10.8155\n",
"Epoch 81/100\n",
"10/10 [==============================] - 0s 15ms/step - loss: 1647.8275 - mean_absolute_error: 11.1581\n",
"Epoch 82/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1676.3653 - mean_absolute_error: 11.3580\n"
],
"name": "stdout"
},
{
"output_type": "stream",
"text": [
"Epoch 83/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1682.2713 - mean_absolute_error: 10.9321\n",
"Epoch 84/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1781.1029 - mean_absolute_error: 12.4862\n",
"Epoch 85/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1623.6223 - mean_absolute_error: 10.5703\n",
"Epoch 86/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1774.7470 - mean_absolute_error: 12.7204\n",
"Epoch 87/100\n",
"10/10 [==============================] - 0s 12ms/step - loss: 1915.6747 - mean_absolute_error: 13.5750\n",
"Epoch 88/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1739.0203 - mean_absolute_error: 12.0415\n",
"Epoch 89/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 2200.3268 - mean_absolute_error: 15.9535\n",
"Epoch 90/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1879.0781 - mean_absolute_error: 13.8025\n",
"Epoch 91/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1760.1108 - mean_absolute_error: 12.4674\n",
"Epoch 92/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1706.2740 - mean_absolute_error: 11.7989\n",
"Epoch 93/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1738.5837 - mean_absolute_error: 12.2190\n",
"Epoch 94/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1663.4180 - mean_absolute_error: 11.4475\n",
"Epoch 95/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1692.1913 - mean_absolute_error: 11.4842\n",
"Epoch 96/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1783.2311 - mean_absolute_error: 12.8805\n",
"Epoch 97/100\n",
"10/10 [==============================] - 0s 15ms/step - loss: 1843.2709 - mean_absolute_error: 13.1248\n",
"Epoch 98/100\n",
"10/10 [==============================] - 0s 13ms/step - loss: 1853.9022 - mean_absolute_error: 12.9432\n",
"Epoch 99/100\n",
"10/10 [==============================] - 0s 15ms/step - loss: 1747.3532 - mean_absolute_error: 12.0403\n",
"Epoch 100/100\n",
"10/10 [==============================] - 0s 14ms/step - loss: 1614.5061 - mean_absolute_error: 10.5558\n"
],
"name": "stdout"
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<keras.callbacks.History at 0x7f54a2cd41d0>"
]
},
"metadata": {
"tags": []
},
"execution_count": 173
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "zt9xHVrQGMRP",
"colab_type": "code",
"outputId": "925dc2ee-83f5-448e-b4bd-7b2d25933663",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34034
}
},
"source": [
" from keras.models import Sequential\n",
"from keras.layers import Dense, Flatten, Input, Reshape, Conv2D, MaxPooling2D, Dropout\n",
"\n",
"model1 = Sequential()\n",
"model1.add(Conv2D(32, (3,3), activation='relu', input_shape=(28,28, 1)))\n",
"model1.add(Conv2D(32, (3, 3), activation='relu'))\n",
"model1.add(MaxPooling2D(pool_size=(2,2)))\n",
"model1.add(Dropout(0.25))\n",
"\n",
"model1.add(Conv2D(64, (3, 3), activation='relu'))\n",
"model1.add(Conv2D(64, (3, 3), activation='relu'))\n",
"model1.add(MaxPooling2D(pool_size=(2, 2)))\n",
"model1.add(Dropout(0.25))\n",
"model1.add(Flatten())\n",
"#model.add(Dense(units=64, activation='relu', input_shape=(28,28)))\n",
"#model.add(Dense(units=64, activation='relu', input_dim=(28*28)))\n",
"#model.add(Dense(units=64, activation='relu'))\n",
"#model.add(Dense(units=64, activation='relu'))\n",
"#model.add(Input(shape=(28,28)))\n",
"#model.add(Flatten())\n",
"#model.add(Dense(units=10, activation='relu'))\n",
"'''model.add(Dense(units=10, activation='softmax'))\n",
"model.compile(loss='categorical_crossentropy',\n",
" optimizer='rmsprop',\n",
" metrics=['accuracy'])'''\n",
"model1.add(Dense(units=128, activation='relu'))\n",
"model1.add(Dense(units=128, activation='relu'))\n",
"x = 50\n",
"model1.add(Dense(units=x, activation='softmax'))\n",
"\n",
"model2 = Sequential()\n",
"#model2.add(model)\n",
"model2.add(Dense(units=128, activation='relu', input_dim=x))\n",
"#model2.add(Dense(units=128, activation='relu'))\n",
"model2.add(Dense(units=128, activation='relu'))\n",
"model2.add(Dense(units=28*28, activation='relu'))\n",
"model2.add(Reshape((28,28)))\n",
"\n",
"model = Sequential()\n",
"model.add(model1)\n",
"model.add(model2)\n",
"model.compile(loss='mean_squared_error', optimizer='adam', metrics=['mae'])\n",
"\n",
"model.fit(x_train.reshape((60000, 28, 28, 1))[[0,1,2,3,4,5,7,13,15,17]], x_train[[0,1,2,3,4,5,7,13,15,17]], epochs=1000, batch_size=10)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"Epoch 1/1000\n",
"10/10 [==============================] - 3s 311ms/step - loss: 7262.8882 - mean_absolute_error: 33.7721\n",
"Epoch 2/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7262.6509 - mean_absolute_error: 33.7721\n",
"Epoch 3/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7262.4360 - mean_absolute_error: 33.7723\n",
"Epoch 4/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7262.0142 - mean_absolute_error: 33.7731\n",
"Epoch 5/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7261.6299 - mean_absolute_error: 33.7732\n",
"Epoch 6/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7261.2070 - mean_absolute_error: 33.7729\n",
"Epoch 7/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7260.7109 - mean_absolute_error: 33.7728\n",
"Epoch 8/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7260.1436 - mean_absolute_error: 33.7728\n",
"Epoch 9/1000\n",
"10/10 [==============================] - 0s 1ms/step - loss: 7259.4961 - mean_absolute_error: 33.7728\n",
"Epoch 10/1000\n",
"10/10 [==============================] - 0s 1ms/step - loss: 7258.7656 - mean_absolute_error: 33.7730\n",
"Epoch 11/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7257.9478 - mean_absolute_error: 33.7734\n",
"Epoch 12/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7257.0342 - mean_absolute_error: 33.7739\n",
"Epoch 13/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7256.0181 - mean_absolute_error: 33.7747\n",
"Epoch 14/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7254.8906 - mean_absolute_error: 33.7757\n",
"Epoch 15/1000\n",
"10/10 [==============================] - 0s 3ms/step - loss: 7253.6445 - mean_absolute_error: 33.7770\n",
"Epoch 16/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7252.2749 - mean_absolute_error: 33.7784\n",
"Epoch 17/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7250.7705 - mean_absolute_error: 33.7800\n",
"Epoch 18/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7249.1235 - mean_absolute_error: 33.7819\n",
"Epoch 19/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7247.3228 - mean_absolute_error: 33.7839\n",
"Epoch 20/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7245.3594 - mean_absolute_error: 33.7862\n",
"Epoch 21/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7243.2236 - mean_absolute_error: 33.7887\n",
"Epoch 22/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7240.9038 - mean_absolute_error: 33.7913\n",
"Epoch 23/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7238.3799 - mean_absolute_error: 33.7942\n",
"Epoch 24/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7235.6460 - mean_absolute_error: 33.7974\n",
"Epoch 25/1000\n",
"10/10 [==============================] - 0s 3ms/step - loss: 7232.6929 - mean_absolute_error: 33.8007\n",
"Epoch 26/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7229.5088 - mean_absolute_error: 33.8044\n",
"Epoch 27/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7226.0796 - mean_absolute_error: 33.8083\n",
"Epoch 28/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7222.3955 - mean_absolute_error: 33.8125\n",
"Epoch 29/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7218.4404 - mean_absolute_error: 33.8170\n",
"Epoch 30/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7214.2041 - mean_absolute_error: 33.8219\n",
"Epoch 31/1000\n"
],
"name": "stdout"
},
{
"output_type": "stream",
"text": [
"\r10/10 [==============================] - 0s 2ms/step - loss: 7209.6641 - mean_absolute_error: 33.8271\n",
"Epoch 32/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7204.8062 - mean_absolute_error: 33.8327\n",
"Epoch 33/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7199.6123 - mean_absolute_error: 33.8387\n",
"Epoch 34/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7194.0718 - mean_absolute_error: 33.8451\n",
"Epoch 35/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7188.1704 - mean_absolute_error: 33.8519\n",
"Epoch 36/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7181.8936 - mean_absolute_error: 33.8591\n",
"Epoch 37/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7175.2251 - mean_absolute_error: 33.8667\n",
"Epoch 38/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7168.1514 - mean_absolute_error: 33.8749\n",
"Epoch 39/1000\n",
"10/10 [==============================] - 0s 3ms/step - loss: 7160.6562 - mean_absolute_error: 33.8836\n",
"Epoch 40/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7152.7256 - mean_absolute_error: 33.8929\n",
"Epoch 41/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7144.3423 - mean_absolute_error: 33.9026\n",
"Epoch 42/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7135.4893 - mean_absolute_error: 33.9129\n",
"Epoch 43/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7126.1533 - mean_absolute_error: 33.9237\n",
"Epoch 44/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7116.3188 - mean_absolute_error: 33.9351\n",
"Epoch 45/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7105.9702 - mean_absolute_error: 33.9470\n",
"Epoch 46/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7095.0923 - mean_absolute_error: 33.9594\n",
"Epoch 47/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7083.6665 - mean_absolute_error: 33.9724\n",
"Epoch 48/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7071.6807 - mean_absolute_error: 33.9860\n",
"Epoch 49/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7059.1196 - mean_absolute_error: 34.0002\n",
"Epoch 50/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7045.9712 - mean_absolute_error: 34.0150\n",
"Epoch 51/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7032.2188 - mean_absolute_error: 34.0305\n",
"Epoch 52/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7017.8516 - mean_absolute_error: 34.0466\n",
"Epoch 53/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 7002.8564 - mean_absolute_error: 34.0633\n",
"Epoch 54/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6987.2212 - mean_absolute_error: 34.0806\n",
"Epoch 55/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6970.9336 - mean_absolute_error: 34.0987\n",
"Epoch 56/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6953.9790 - mean_absolute_error: 34.1174\n",
"Epoch 57/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6936.3491 - mean_absolute_error: 34.1369\n",
"Epoch 58/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6918.0352 - mean_absolute_error: 34.1573\n",
"Epoch 59/1000\n"
],
"name": "stdout"
},
{
"output_type": "stream",
"text": [
"\r10/10 [==============================] - 0s 2ms/step - loss: 6899.0283 - mean_absolute_error: 34.1784\n",
"Epoch 60/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6879.3203 - mean_absolute_error: 34.2001\n",
"Epoch 61/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6858.9023 - mean_absolute_error: 34.2224\n",
"Epoch 62/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6837.7686 - mean_absolute_error: 34.2451\n",
"Epoch 63/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6815.9150 - mean_absolute_error: 34.2685\n",
"Epoch 64/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6793.3359 - mean_absolute_error: 34.2924\n",
"Epoch 65/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6770.0288 - mean_absolute_error: 34.3170\n",
"Epoch 66/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6745.9937 - mean_absolute_error: 34.3420\n",
"Epoch 67/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6721.2280 - mean_absolute_error: 34.3675\n",
"Epoch 68/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6695.7290 - mean_absolute_error: 34.3933\n",
"Epoch 69/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6669.5015 - mean_absolute_error: 34.4194\n",
"Epoch 70/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6642.5498 - mean_absolute_error: 34.4459\n",
"Epoch 71/1000\n",
"10/10 [==============================] - 0s 3ms/step - loss: 6614.8813 - mean_absolute_error: 34.4729\n",
"Epoch 72/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6586.5010 - mean_absolute_error: 34.5003\n",
"Epoch 73/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6557.4194 - mean_absolute_error: 34.5282\n",
"Epoch 74/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6527.6475 - mean_absolute_error: 34.5560\n",
"Epoch 75/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6497.1982 - mean_absolute_error: 34.5837\n",
"Epoch 76/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6466.0854 - mean_absolute_error: 34.6111\n",
"Epoch 77/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6434.3252 - mean_absolute_error: 34.6387\n",
"Epoch 78/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6401.9111 - mean_absolute_error: 34.6666\n",
"Epoch 79/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6368.8799 - mean_absolute_error: 34.6945\n",
"Epoch 80/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6335.2529 - mean_absolute_error: 34.7217\n",
"Epoch 81/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6301.0571 - mean_absolute_error: 34.7488\n",
"Epoch 82/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6266.2930 - mean_absolute_error: 34.7760\n",
"Epoch 83/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6231.0020 - mean_absolute_error: 34.8031\n",
"Epoch 84/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6195.2144 - mean_absolute_error: 34.8300\n",
"Epoch 85/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6158.9614 - mean_absolute_error: 34.8572\n",
"Epoch 86/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6122.2603 - mean_absolute_error: 34.8841\n",
"Epoch 87/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6085.1528 - mean_absolute_error: 34.9099\n"
],
"name": "stdout"
},
{
"output_type": "stream",
"text": [
"Epoch 88/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6047.6733 - mean_absolute_error: 34.9344\n",
"Epoch 89/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 6009.8584 - mean_absolute_error: 34.9574\n",
"Epoch 90/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5971.7432 - mean_absolute_error: 34.9796\n",
"Epoch 91/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5933.3662 - mean_absolute_error: 35.0020\n",
"Epoch 92/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5894.7646 - mean_absolute_error: 35.0235\n",
"Epoch 93/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5855.9795 - mean_absolute_error: 35.0431\n",
"Epoch 94/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5817.0503 - mean_absolute_error: 35.0605\n",
"Epoch 95/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5778.0200 - mean_absolute_error: 35.0759\n",
"Epoch 96/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5738.9312 - mean_absolute_error: 35.0900\n",
"Epoch 97/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5699.8271 - mean_absolute_error: 35.1029\n",
"Epoch 98/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5660.7539 - mean_absolute_error: 35.1143\n",
"Epoch 99/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5621.7588 - mean_absolute_error: 35.1245\n",
"Epoch 100/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5582.8877 - mean_absolute_error: 35.1326\n",
"Epoch 101/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5544.1899 - mean_absolute_error: 35.1388\n",
"Epoch 102/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5505.7144 - mean_absolute_error: 35.1444\n",
"Epoch 103/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5467.5093 - mean_absolute_error: 35.1483\n",
"Epoch 104/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5429.6250 - mean_absolute_error: 35.1504\n",
"Epoch 105/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5392.1123 - mean_absolute_error: 35.1519\n",
"Epoch 106/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5355.0186 - mean_absolute_error: 35.1514\n",
"Epoch 107/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5318.3936 - mean_absolute_error: 35.1492\n",
"Epoch 108/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5282.2856 - mean_absolute_error: 35.1445\n",
"Epoch 109/1000\n",
"10/10 [==============================] - 0s 3ms/step - loss: 5246.7402 - mean_absolute_error: 35.1382\n",
"Epoch 110/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5211.8037 - mean_absolute_error: 35.1304\n",
"Epoch 111/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5177.5205 - mean_absolute_error: 35.1213\n",
"Epoch 112/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5143.9302 - mean_absolute_error: 35.1110\n",
"Epoch 113/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5111.0742 - mean_absolute_error: 35.1000\n",
"Epoch 114/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5078.9883 - mean_absolute_error: 35.0879\n",
"Epoch 115/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 5047.7061 - mean_absolute_error: 35.0747\n",
"Epoch 116/1000\n"
],
"name": "stdout"
},
{
"output_type": "stream",
"text": [
"\r10/10 [==============================] - 0s 2ms/step - loss: 5017.2598 - mean_absolute_error: 35.0608\n",
"Epoch 117/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4987.5752 - mean_absolute_error: 35.0447\n",
"Epoch 118/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4958.7417 - mean_absolute_error: 35.0262\n",
"Epoch 119/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4930.7891 - mean_absolute_error: 35.0054\n",
"Epoch 120/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4903.7422 - mean_absolute_error: 34.9833\n",
"Epoch 121/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4877.6177 - mean_absolute_error: 34.9592\n",
"Epoch 122/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4852.2334 - mean_absolute_error: 34.9332\n",
"Epoch 123/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4827.7217 - mean_absolute_error: 34.9053\n",
"Epoch 124/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4804.1069 - mean_absolute_error: 34.8777\n",
"Epoch 125/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4781.4048 - mean_absolute_error: 34.8493\n",
"Epoch 126/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4759.6182 - mean_absolute_error: 34.8199\n",
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],
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"Epoch 145/1000\n",
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"Epoch 146/1000\n",
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],
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"Epoch 174/1000\n",
"\r10/10 [==============================] - 0s 1ms/step - loss: 4385.5322 - mean_absolute_error: 33.3565\n",
"Epoch 175/1000\n",
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"Epoch 200/1000\n",
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"Epoch 202/1000\n",
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],
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"Epoch 203/1000\n",
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"Epoch 204/1000\n",
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"Epoch 231/1000\n",
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"Epoch 232/1000\n",
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"Epoch 250/1000\n",
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"Epoch 259/1000\n"
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"10/10 [==============================] - 0s 2ms/step - loss: 4347.3154 - mean_absolute_error: 32.9482\n",
"Epoch 260/1000\n",
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"Epoch 287/1000\n"
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"Epoch 288/1000\n",
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"Epoch 300/1000\n",
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"Epoch 301/1000\n",
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],
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"Epoch 315/1000\n",
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"Epoch 316/1000\n",
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"Epoch 343/1000\n",
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"Epoch 344/1000\n"
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"\r10/10 [==============================] - 0s 2ms/step - loss: 4345.2627 - mean_absolute_error: 32.9239\n",
"Epoch 345/1000\n",
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"Epoch 371/1000\n"
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"\r10/10 [==============================] - 0s 2ms/step - loss: 4345.1602 - mean_absolute_error: 32.9223\n",
"Epoch 372/1000\n",
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"Epoch 399/1000\n"
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"\r10/10 [==============================] - 0s 2ms/step - loss: 4345.1147 - mean_absolute_error: 32.9214\n",
"Epoch 400/1000\n",
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"Epoch 416/1000\n",
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"Epoch 419/1000\n",
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"Epoch 420/1000\n",
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"Epoch 421/1000\n",
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"Epoch 425/1000\n",
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],
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"Epoch 428/1000\n",
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"Epoch 429/1000\n",
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"Epoch 441/1000\n",
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"Epoch 442/1000\n",
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"Epoch 445/1000\n",
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"Epoch 447/1000\n",
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"Epoch 448/1000\n",
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"Epoch 449/1000\n",
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"Epoch 451/1000\n",
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"Epoch 452/1000\n",
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"Epoch 453/1000\n",
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"Epoch 454/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0889 - mean_absolute_error: 32.9207\n",
"Epoch 455/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0889 - mean_absolute_error: 32.9207\n",
"Epoch 456/1000\n",
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],
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},
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"text": [
"Epoch 457/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0889 - mean_absolute_error: 32.9207\n",
"Epoch 458/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0889 - mean_absolute_error: 32.9207\n",
"Epoch 459/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0884 - mean_absolute_error: 32.9207\n",
"Epoch 460/1000\n",
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"Epoch 461/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0879 - mean_absolute_error: 32.9207\n",
"Epoch 462/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0884 - mean_absolute_error: 32.9207\n",
"Epoch 463/1000\n",
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"Epoch 464/1000\n",
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"Epoch 465/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0879 - mean_absolute_error: 32.9207\n",
"Epoch 466/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0884 - mean_absolute_error: 32.9207\n",
"Epoch 467/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0874 - mean_absolute_error: 32.9207\n",
"Epoch 468/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0874 - mean_absolute_error: 32.9207\n",
"Epoch 469/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0874 - mean_absolute_error: 32.9207\n",
"Epoch 470/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0874 - mean_absolute_error: 32.9207\n",
"Epoch 471/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0874 - mean_absolute_error: 32.9207\n",
"Epoch 472/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0869 - mean_absolute_error: 32.9206\n",
"Epoch 473/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0869 - mean_absolute_error: 32.9207\n",
"Epoch 474/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0869 - mean_absolute_error: 32.9206\n",
"Epoch 475/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0874 - mean_absolute_error: 32.9207\n",
"Epoch 476/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0869 - mean_absolute_error: 32.9206\n",
"Epoch 477/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0869 - mean_absolute_error: 32.9207\n",
"Epoch 478/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0869 - mean_absolute_error: 32.9206\n",
"Epoch 479/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0869 - mean_absolute_error: 32.9207\n",
"Epoch 480/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0869 - mean_absolute_error: 32.9206\n",
"Epoch 481/1000\n",
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"Epoch 482/1000\n",
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"Epoch 483/1000\n",
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"Epoch 484/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0864 - mean_absolute_error: 32.9206\n",
"Epoch 485/1000\n",
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],
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},
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"text": [
"Epoch 486/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0869 - mean_absolute_error: 32.9206\n",
"Epoch 487/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0864 - mean_absolute_error: 32.9206\n",
"Epoch 488/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0864 - mean_absolute_error: 32.9206\n",
"Epoch 489/1000\n",
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"Epoch 490/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0869 - mean_absolute_error: 32.9206\n",
"Epoch 491/1000\n",
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"Epoch 492/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0864 - mean_absolute_error: 32.9206\n",
"Epoch 493/1000\n",
"10/10 [==============================] - 0s 1ms/step - loss: 4345.0859 - mean_absolute_error: 32.9206\n",
"Epoch 494/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0859 - mean_absolute_error: 32.9206\n",
"Epoch 495/1000\n",
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"Epoch 496/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0859 - mean_absolute_error: 32.9206\n",
"Epoch 497/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0859 - mean_absolute_error: 32.9206\n",
"Epoch 498/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0859 - mean_absolute_error: 32.9206\n",
"Epoch 499/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0859 - mean_absolute_error: 32.9206\n",
"Epoch 500/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0859 - mean_absolute_error: 32.9206\n",
"Epoch 501/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9206\n",
"Epoch 502/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0859 - mean_absolute_error: 32.9206\n",
"Epoch 503/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0859 - mean_absolute_error: 32.9206\n",
"Epoch 504/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9206\n",
"Epoch 505/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0859 - mean_absolute_error: 32.9206\n",
"Epoch 506/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0859 - mean_absolute_error: 32.9206\n",
"Epoch 507/1000\n",
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"Epoch 508/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0859 - mean_absolute_error: 32.9206\n",
"Epoch 509/1000\n",
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"Epoch 510/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0859 - mean_absolute_error: 32.9206\n",
"Epoch 511/1000\n",
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"Epoch 512/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 513/1000\n",
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],
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"text": [
"Epoch 514/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9206\n",
"Epoch 515/1000\n",
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"Epoch 516/1000\n",
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"Epoch 517/1000\n",
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"Epoch 518/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0859 - mean_absolute_error: 32.9206\n",
"Epoch 519/1000\n",
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"Epoch 520/1000\n",
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"Epoch 521/1000\n",
"10/10 [==============================] - 0s 3ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 522/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0859 - mean_absolute_error: 32.9206\n",
"Epoch 523/1000\n",
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"Epoch 524/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0859 - mean_absolute_error: 32.9205\n",
"Epoch 525/1000\n",
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"Epoch 526/1000\n",
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"Epoch 527/1000\n",
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"Epoch 528/1000\n",
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"Epoch 529/1000\n",
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"Epoch 530/1000\n",
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"Epoch 531/1000\n",
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"Epoch 532/1000\n",
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"Epoch 533/1000\n",
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"Epoch 534/1000\n",
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"Epoch 535/1000\n",
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"Epoch 536/1000\n",
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"Epoch 537/1000\n",
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"Epoch 538/1000\n",
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"Epoch 539/1000\n",
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"Epoch 540/1000\n",
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"Epoch 541/1000\n",
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"Epoch 542/1000\n"
],
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"text": [
"\r10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 543/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 544/1000\n",
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"Epoch 545/1000\n",
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"Epoch 546/1000\n",
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"Epoch 547/1000\n",
"10/10 [==============================] - 0s 3ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 548/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 549/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 550/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 551/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 552/1000\n",
"10/10 [==============================] - 0s 1ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 553/1000\n",
"10/10 [==============================] - 0s 3ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 554/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 555/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 556/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 557/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 558/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 559/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 560/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 561/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 562/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 563/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 564/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 565/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 566/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 567/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 568/1000\n",
"10/10 [==============================] - 0s 1ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 569/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 570/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 571/1000\n"
],
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},
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"text": [
"\r10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 572/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 573/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 574/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 575/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 576/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 577/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 578/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 579/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 580/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 581/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 582/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 583/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 584/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 585/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 586/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 587/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 588/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 589/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 590/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 591/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 592/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 593/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 594/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 595/1000\n",
"10/10 [==============================] - 0s 3ms/step - loss: 4345.0850 - mean_absolute_error: 32.9204\n",
"Epoch 596/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 597/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9204\n",
"Epoch 598/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9206\n",
"Epoch 599/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n"
],
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},
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"text": [
"Epoch 600/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 601/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 602/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 603/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 604/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 605/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 606/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 607/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 608/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 609/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 610/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 611/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 612/1000\n",
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"Epoch 613/1000\n",
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"Epoch 614/1000\n",
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"Epoch 615/1000\n",
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"Epoch 616/1000\n",
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"Epoch 617/1000\n",
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"Epoch 618/1000\n",
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"Epoch 619/1000\n",
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"Epoch 620/1000\n",
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"Epoch 621/1000\n",
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"Epoch 622/1000\n",
"10/10 [==============================] - 0s 3ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 623/1000\n",
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"Epoch 624/1000\n",
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"Epoch 625/1000\n",
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"Epoch 626/1000\n",
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"Epoch 627/1000\n",
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"Epoch 628/1000\n",
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],
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"Epoch 629/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 630/1000\n",
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"Epoch 631/1000\n",
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"Epoch 632/1000\n",
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"Epoch 633/1000\n",
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"Epoch 634/1000\n",
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"Epoch 635/1000\n",
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"Epoch 636/1000\n",
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"Epoch 637/1000\n",
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"Epoch 638/1000\n",
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"Epoch 639/1000\n",
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"Epoch 640/1000\n",
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"Epoch 641/1000\n",
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"Epoch 642/1000\n",
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"Epoch 643/1000\n",
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"Epoch 644/1000\n",
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"Epoch 645/1000\n",
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"Epoch 646/1000\n",
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"Epoch 647/1000\n",
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"Epoch 648/1000\n",
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"Epoch 649/1000\n",
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"Epoch 650/1000\n",
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"Epoch 651/1000\n",
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"Epoch 652/1000\n",
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"Epoch 653/1000\n",
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"Epoch 654/1000\n",
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"Epoch 655/1000\n",
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"Epoch 656/1000\n",
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"Epoch 657/1000\n",
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],
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"Epoch 658/1000\n",
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"Epoch 659/1000\n",
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"Epoch 660/1000\n",
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"Epoch 661/1000\n",
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"Epoch 662/1000\n",
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"Epoch 663/1000\n",
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"Epoch 664/1000\n",
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"Epoch 665/1000\n",
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"Epoch 666/1000\n",
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"Epoch 667/1000\n",
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"Epoch 668/1000\n",
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"Epoch 669/1000\n",
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"Epoch 670/1000\n",
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"Epoch 671/1000\n",
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"Epoch 672/1000\n",
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"Epoch 673/1000\n",
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"Epoch 674/1000\n",
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"Epoch 675/1000\n",
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"Epoch 676/1000\n",
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"Epoch 677/1000\n",
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"Epoch 678/1000\n",
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"Epoch 679/1000\n",
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"Epoch 680/1000\n",
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"Epoch 681/1000\n",
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"Epoch 682/1000\n",
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"Epoch 685/1000\n",
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"Epoch 686/1000\n"
],
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"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 687/1000\n",
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"Epoch 688/1000\n",
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"Epoch 689/1000\n",
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"Epoch 690/1000\n",
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"Epoch 691/1000\n",
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"Epoch 692/1000\n",
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"Epoch 693/1000\n",
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"Epoch 694/1000\n",
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"Epoch 695/1000\n",
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"Epoch 696/1000\n",
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"Epoch 699/1000\n",
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"Epoch 700/1000\n",
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"Epoch 701/1000\n",
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"Epoch 704/1000\n",
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"Epoch 709/1000\n",
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"Epoch 710/1000\n",
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"Epoch 711/1000\n",
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"Epoch 712/1000\n",
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"Epoch 713/1000\n",
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"Epoch 714/1000\n",
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"Epoch 715/1000"
],
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"\n",
"\r10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 716/1000\n",
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"Epoch 717/1000\n",
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"Epoch 719/1000\n",
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"Epoch 720/1000\n",
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"Epoch 722/1000\n",
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"Epoch 726/1000\n",
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"Epoch 727/1000\n",
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"Epoch 728/1000\n",
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"Epoch 729/1000\n",
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"Epoch 730/1000\n",
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"Epoch 731/1000\n",
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"Epoch 732/1000\n",
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"Epoch 733/1000\n",
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"Epoch 734/1000\n",
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"Epoch 737/1000\n",
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"Epoch 741/1000\n",
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"Epoch 742/1000\n",
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"Epoch 743/1000\n"
],
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"\r10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 744/1000\n",
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"Epoch 748/1000\n",
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"Epoch 749/1000\n",
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"Epoch 750/1000\n",
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"Epoch 751/1000\n",
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"Epoch 752/1000\n",
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"Epoch 753/1000\n",
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"Epoch 754/1000\n",
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"Epoch 755/1000\n",
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"Epoch 756/1000\n",
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"Epoch 757/1000\n",
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"Epoch 758/1000\n",
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"Epoch 759/1000\n",
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"Epoch 760/1000\n",
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"Epoch 761/1000\n",
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"Epoch 762/1000\n",
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"Epoch 771/1000\n",
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"Epoch 772/1000\n"
],
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"\r10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 773/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 774/1000\n",
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"Epoch 775/1000\n",
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"Epoch 776/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 777/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 778/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 779/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9204\n",
"Epoch 780/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 781/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 782/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 783/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 784/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9204\n",
"Epoch 785/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 786/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9204\n",
"Epoch 787/1000\n",
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"Epoch 788/1000\n",
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"Epoch 789/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 790/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 791/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9204\n",
"Epoch 792/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 793/1000\n",
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"Epoch 794/1000\n",
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"Epoch 795/1000\n",
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"Epoch 796/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9206\n",
"Epoch 797/1000\n",
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"Epoch 798/1000\n",
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"Epoch 799/1000\n",
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"Epoch 800/1000\n"
],
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"text": [
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 801/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 802/1000\n",
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"Epoch 803/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 804/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 805/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 806/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9204\n",
"Epoch 807/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9206\n",
"Epoch 808/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 809/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 810/1000\n",
"10/10 [==============================] - 0s 3ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 811/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 812/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 813/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 814/1000\n",
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"Epoch 815/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 816/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 817/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 818/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 819/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 820/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 821/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 822/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 823/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 824/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 825/1000\n",
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"Epoch 826/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 827/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 828/1000\n",
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],
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"text": [
"Epoch 829/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 830/1000\n",
"10/10 [==============================] - 0s 3ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 831/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 832/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 833/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 834/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 835/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 836/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 837/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 838/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 839/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 840/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 841/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 842/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 843/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 844/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 845/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 846/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 847/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 848/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 849/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 850/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 851/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 852/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 853/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 854/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 855/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 856/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 857/1000\n",
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],
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"Epoch 858/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 859/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 860/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 861/1000\n",
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"Epoch 862/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 863/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 864/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 865/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 866/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 867/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 868/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 869/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 870/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 871/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 872/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 873/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 874/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 875/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 876/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 877/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 878/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 879/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 880/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 881/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 882/1000\n",
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"Epoch 883/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 884/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 885/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 886/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n"
],
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"text": [
"Epoch 887/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 888/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 889/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 890/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 891/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 892/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 893/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 894/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 895/1000\n",
"10/10 [==============================] - 0s 1ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 896/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 897/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 898/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 899/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 900/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 901/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 902/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 903/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 904/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 905/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 906/1000\n",
"10/10 [==============================] - 0s 3ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 907/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 908/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 909/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 910/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 911/1000\n",
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"Epoch 912/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 913/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 914/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 915/1000\n",
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],
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"Epoch 916/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 917/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 918/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 919/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 920/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 921/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 922/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9206\n",
"Epoch 923/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 924/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 925/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9204\n",
"Epoch 926/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 927/1000\n",
"10/10 [==============================] - 0s 1ms/step - loss: 4345.0850 - mean_absolute_error: 32.9204\n",
"Epoch 928/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 929/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 930/1000\n",
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"Epoch 931/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 932/1000\n",
"10/10 [==============================] - 0s 1ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 933/1000\n",
"10/10 [==============================] - 0s 1ms/step - loss: 4345.0854 - mean_absolute_error: 32.9206\n",
"Epoch 934/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 935/1000\n",
"10/10 [==============================] - 0s 3ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 936/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 937/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 938/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 939/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 940/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9206\n",
"Epoch 941/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 942/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 943/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 944/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 945/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n"
],
"name": "stdout"
},
{
"output_type": "stream",
"text": [
"Epoch 946/1000\n",
"10/10 [==============================] - 0s 3ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 947/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 948/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 949/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 950/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 951/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9206\n",
"Epoch 952/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9204\n",
"Epoch 953/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9206\n",
"Epoch 954/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9204\n",
"Epoch 955/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 956/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 957/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 958/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 959/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9204\n",
"Epoch 960/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 961/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9204\n",
"Epoch 962/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 963/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 964/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 965/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 966/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 967/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 968/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 969/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 970/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 971/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 972/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 973/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n"
],
"name": "stdout"
},
{
"output_type": "stream",
"text": [
"Epoch 974/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 975/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 976/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 977/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 978/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 979/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9204\n",
"Epoch 980/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 981/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9204\n",
"Epoch 982/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 983/1000\n",
"10/10 [==============================] - 0s 3ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 984/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 985/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 986/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 987/1000\n",
"10/10 [==============================] - 0s 1ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 988/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9204\n",
"Epoch 989/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 990/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 991/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9205\n",
"Epoch 992/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9206\n",
"Epoch 993/1000\n",
"10/10 [==============================] - 0s 1ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 994/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0854 - mean_absolute_error: 32.9206\n",
"Epoch 995/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 996/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 997/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 998/1000\n",
"10/10 [==============================] - 0s 1ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 999/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n",
"Epoch 1000/1000\n",
"10/10 [==============================] - 0s 2ms/step - loss: 4345.0850 - mean_absolute_error: 32.9205\n"
],
"name": "stdout"
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<keras.callbacks.History at 0x7f549b627da0>"
]
},
"metadata": {
"tags": []
},
"execution_count": 190
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "_sPp4TPA3rab",
"colab_type": "code",
"outputId": "4ccac2c6-b100-4919-c85d-eb57ad144498",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
}
},
"source": [
"x_train.reshape((60000,-1)).shape"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(60000, 784)"
]
},
"metadata": {
"tags": []
},
"execution_count": 48
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "9SA-p3kW3rOC",
"colab_type": "text"
},
"source": [
""
]
},
{
"cell_type": "code",
"metadata": {
"id": "qU7VZ59wyPfi",
"colab_type": "code",
"outputId": "8c3dbb63-44b9-4aa8-f41e-2ad5fb033b99",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
}
},
"source": [
"model.predict(x_train.reshape((60000, 28, 28, 1))[:10]).sum()"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"48973.29"
]
},
"metadata": {
"tags": []
},
"execution_count": 66
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "P0bdn3SRzLo0",
"colab_type": "code",
"outputId": "2e3cacc6-47bf-4297-b5fe-9f2bdec711a5",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 364
}
},
"source": [
"import matplotlib.pyplot as plt\n",
"plt.imshow(x_train[0])"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7f54ba041828>"
]
},
"metadata": {
"tags": []
},
"execution_count": 97
},
{
"output_type": "display_data",
"data": {
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Duru7tXLlSn311Vdqbm5WQkKCJGnFihWaO3duOPsEAEf1G5ZHjhzR8ePH5fP51NHRoUWL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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f54bb696940>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "9a8u78sD2jHD",
"colab_type": "code",
"outputId": "28fbc17e-4172-49f4-b334-f075db99d3d5",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 364
}
},
"source": [
"plt.imshow(model.predict(x_train.reshape((-1, 28, 28, 1))[:10])[5])"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7f54abc0a7b8>"
]
},
"metadata": {
"tags": []
},
"execution_count": 187
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54a3ac9828>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "nUjyWewIQovQ",
"colab_type": "code",
"outputId": "8fb1b1b9-c199-4cd0-b1dc-fd65fe672b97",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 2873
}
},
"source": [
"model.predict(x_train.reshape((-1, 28, 28, 1))[:10])[4]"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
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" 0. , 0. , 0. ]], dtype=float32)"
]
},
"metadata": {
"tags": []
},
"execution_count": 184
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "hXlrAJp4HBro",
"colab_type": "code",
"outputId": "3eb0fcdc-3e13-4acb-86da-900a1be0da9d",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 51
}
},
"source": [
"model1.predict(x_train.reshape((-1, 28, 28, 1))[:10])[5]"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0.], dtype=float32)"
]
},
"metadata": {
"tags": []
},
"execution_count": 182
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "x_3w5CsjKTEQ",
"colab_type": "code",
"outputId": "791eee8a-d53a-4ce2-f3ee-a4b1c03e2229",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 51
}
},
"source": [
"x_train[y_train == 3].shape\n",
"\n",
"model1.predict(x_train[y_train == 3].reshape((-1, 28, 28, 1))).mean(axis=0)#[7]"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0.], dtype=float32)"
]
},
"metadata": {
"tags": []
},
"execution_count": 175
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "akDznLqrKtUs",
"colab_type": "code",
"outputId": "3e9f4496-6d4a-4f49-8b0a-910baf03de89",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 3317
}
},
"source": [
"import numpy as np\n",
"\n",
"for i in range(10):\n",
" plt.imshow(model2.predict(model1.predict(x_train[y_train == i].reshape((-1, 28, 28, 1))).mean(axis=0).reshape((1,x)))[0])\n",
" plt.show()"
],
"execution_count": 0,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54a4d5bac8>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
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RokXBs8nTp0/rZz/7mX73u9/FtVEAcJLpAs/hw4e1e/duvfPOOxo3bpzcbreuXLmiMWPG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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f54a5f4a240>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54a0e875c0>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54a0889ef0>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54a2358fd0>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54a082aa58>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54a091fba8>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54a1332a58>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54a06cbe10>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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RokXBs8nTp0/rZz/7mX73u9/FtVEAcJLpAs/hw4e1e/duvfPOOxo3bpzcbreuXLmiMWPG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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f54a06fb588>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "DT8gTKHD2tEG",
"colab_type": "code",
"outputId": "b71e1664-6f88-4f72-b37b-c6f5ed29411f",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 364
}
},
"source": [
"import numpy as np\n",
"\n",
"plt.imshow(model2.predict(np.array([[\n",
" 939.00024, 596.8446 , 543.2641 , 1190.2047 , 1071.6633 ,\n",
" 0. , 0. , 513.2968 , 1418.0906 , 561.9387 ,\n",
" 1309.9022 , 481.01355, 1599.8602 , 0. , 1397.9596 ,\n",
" 1706.3021 , 1320.8265 , 360.7352 , 592.08026, 0. \n",
"]]))[0])"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7f54b3244978>"
]
},
"metadata": {
"tags": []
},
"execution_count": 122
},
{
"output_type": "display_data",
"data": {
"image/png": 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rv/e979m1fAH0wOr1ZXhTU5Py8/N18OBBJSUlSZLmz5+vwsJCSVJRUZEWLlwY2S4BIMp6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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f54b328c898>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "cnD6ihgg7DO0",
"colab_type": "code",
"outputId": "6d7ae0f0-cd07-4577-fbb0-8dd596507c0c",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 9917
}
},
"source": [
"for i in range(0,3000,100):\n",
" plt.imshow(model2.predict(np.array([[\n",
" 939, 596.8446 , 543.2641 , 1190.2047 , 1071.6633 ,\n",
" 0. , 0 , 513.2968 , 1418.0906 , 561.9387 ,\n",
" 1309.9022 , 481.01355, 1599.8602 , 0. , 1397.9596 ,\n",
" 1706.3021 , 1320.8265 , 360.7352 , 592.08026, i \n",
" ]]))[0])\n",
" \n",
" plt.show()"
],
"execution_count": 0,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54af2a4240>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ad290320>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ad6beb70>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ad255588>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54acf3f978>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ace0c7b8>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54acddc358>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54acb5eac8>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54acb1c320>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ac9965f8>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ac9722e8>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ac6d79e8>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54acb6ea20>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ac4fd5f8>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ac382e80>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ac6d1e80>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ac3ab710>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ac09fd68>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54abf67f60>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54abec7828>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54abf11a58>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54abc01748>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54abede9b0>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54abdad550>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ab921b00>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ab786dd8>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ab941400>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ab619780>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f54ab5cc048>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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CgIGwBAADYQkAhpxYIuvmMO5duXIl7nggEBi2LRKJ2HPeuHHDrp0zZ45VN2nSJHtOIBW4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\nAoCBsAQAA2EJAIb/AiaXUEipP7UIAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f54abc0add8>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "eztTXhHaHWlQ",
"colab_type": "code",
"colab": {}
},
"source": [
""
],
"execution_count": 0,
"outputs": []
}
]
}
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