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Created February 8, 2023 17:06
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyM24mjqPmyTUKsx1JuH9FhQ",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/kiransair/bd2f5464415590369b8a905684b99806/forum_14718.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"source": [
"from tensorflow import keras\n",
"from keras.models import Model\n",
"from keras.layers import Dense, Conv2D, MaxPooling2D, Flatten, Dropout, concatenate, Input"
],
"metadata": {
"id": "eMC946aR3XL9"
},
"execution_count": 1,
"outputs": []
},
{
"cell_type": "code",
"source": [
"import numpy as np"
],
"metadata": {
"id": "Zi6rinNi4Cro"
},
"execution_count": 2,
"outputs": []
},
{
"cell_type": "code",
"source": [
"from tensorflow import keras\n",
"from keras.models import Model\n",
"from keras.layers import Dense, Conv2D, MaxPooling2D, Flatten, Dropout, concatenate, Input\n",
"\n",
"training_x1 = np.zeros((1,476, 47, 3)) # channel 1\n",
"training_x2 = np.zeros((1,476, 47, 3)) # channel 2\n",
"validation_x1 = np.zeros((1,476, 47, 3)) # channel 1\n",
"validation_x2 = np.zeros((1,476, 47, 3)) # channel 2\n",
"training_y = np.zeros((1,))\n",
"validation_y = np.zeros((1,))\n",
"\n",
"# channel 1\n",
"inputs1 = Input(shape=(476,47,3))\n",
"conv1 = Conv2D(filters=32, kernel_size=3, activation='relu')(inputs1)\n",
"pool1 = MaxPooling2D(pool_size=2, padding='valid')(conv1)\n",
"drop1 = Dropout(0.5)(pool1)\n",
"flat1 = Flatten()(drop1)\n",
"\n",
"# channel 2\n",
"inputs2 = Input(shape=(476,47,3))\n",
"conv2 = Conv2D(filters=32, kernel_size=3, activation='relu')(inputs2)\n",
"drop2 = Dropout(0.5)(conv2)\n",
"pool2 = MaxPooling2D(pool_size=2, padding='valid')(drop2)\n",
"flat2 = Flatten()(pool2)\n",
"\n",
"# merge\n",
"merged = concatenate([flat1, flat2])\n",
"\n",
"# interpretation\n",
"dense1 = Dense(1, activation='relu')(merged)\n",
"outputs = Dense(1, activation='linear')(dense1)\n",
"model = Model(inputs=[inputs1, inputs2], outputs=outputs)\n",
"\n",
"# compile the model\n",
"model.compile(loss='mse',\n",
" optimizer='rmsprop',\n",
" metrics='accuracy')\n",
"\n",
"# fit the model\n",
"history = model.fit([training_x1, training_x2], training_y,validation_data=([validation_x1,validation_x2], validation_y),epochs=100)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "HjjNvcs7-A6I",
"outputId": "c7e21f15-89e1-4a85-8e85-db3fd5e69588"
},
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Epoch 1/100\n",
"1/1 [==============================] - 2s 2s/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 2/100\n",
"1/1 [==============================] - 0s 166ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 3/100\n",
"1/1 [==============================] - 0s 206ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 4/100\n",
"1/1 [==============================] - 0s 189ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 5/100\n",
"1/1 [==============================] - 0s 168ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 6/100\n",
"1/1 [==============================] - 0s 231ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 7/100\n",
"1/1 [==============================] - 0s 190ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 8/100\n",
"1/1 [==============================] - 0s 135ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 9/100\n",
"1/1 [==============================] - 0s 179ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 10/100\n",
"1/1 [==============================] - 0s 176ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 11/100\n",
"1/1 [==============================] - 0s 149ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 12/100\n",
"1/1 [==============================] - 0s 146ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 13/100\n",
"1/1 [==============================] - 0s 146ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 14/100\n",
"1/1 [==============================] - 0s 174ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 15/100\n",
"1/1 [==============================] - 0s 246ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 16/100\n",
"1/1 [==============================] - 0s 261ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 17/100\n",
"1/1 [==============================] - 0s 231ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 18/100\n",
"1/1 [==============================] - 0s 226ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 19/100\n",
"1/1 [==============================] - 0s 227ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 20/100\n",
"1/1 [==============================] - 0s 284ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 21/100\n",
"1/1 [==============================] - 0s 213ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 22/100\n",
"1/1 [==============================] - 0s 154ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 23/100\n",
"1/1 [==============================] - 0s 228ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 24/100\n",
"1/1 [==============================] - 0s 311ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 25/100\n",
"1/1 [==============================] - 0s 303ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 26/100\n",
"1/1 [==============================] - 0s 270ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 27/100\n",
"1/1 [==============================] - 0s 337ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 28/100\n",
"1/1 [==============================] - 0s 140ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 29/100\n",
"1/1 [==============================] - 0s 172ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 30/100\n",
"1/1 [==============================] - 0s 201ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 31/100\n",
"1/1 [==============================] - 0s 149ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 32/100\n",
"1/1 [==============================] - 0s 147ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 33/100\n",
"1/1 [==============================] - 0s 200ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 34/100\n",
"1/1 [==============================] - 0s 137ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 35/100\n",
"1/1 [==============================] - 0s 120ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 36/100\n",
"1/1 [==============================] - 0s 147ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 37/100\n",
"1/1 [==============================] - 0s 140ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 38/100\n",
"1/1 [==============================] - 0s 112ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 39/100\n",
"1/1 [==============================] - 0s 184ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 40/100\n",
"1/1 [==============================] - 0s 246ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 41/100\n",
"1/1 [==============================] - 0s 171ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 42/100\n",
"1/1 [==============================] - 0s 168ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 43/100\n",
"1/1 [==============================] - 0s 146ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 44/100\n",
"1/1 [==============================] - 0s 150ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 45/100\n",
"1/1 [==============================] - 0s 163ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 46/100\n",
"1/1 [==============================] - 0s 147ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 47/100\n",
"1/1 [==============================] - 0s 144ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 48/100\n",
"1/1 [==============================] - 0s 157ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 49/100\n",
"1/1 [==============================] - 0s 131ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 50/100\n",
"1/1 [==============================] - 0s 176ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 51/100\n",
"1/1 [==============================] - 0s 113ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 52/100\n",
"1/1 [==============================] - 0s 146ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 53/100\n",
"1/1 [==============================] - 0s 182ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 54/100\n",
"1/1 [==============================] - 0s 203ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 55/100\n",
"1/1 [==============================] - 0s 177ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 56/100\n",
"1/1 [==============================] - 0s 137ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 57/100\n",
"1/1 [==============================] - 0s 272ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 58/100\n",
"1/1 [==============================] - 0s 166ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 59/100\n",
"1/1 [==============================] - 0s 336ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 60/100\n",
"1/1 [==============================] - 0s 139ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 61/100\n",
"1/1 [==============================] - 0s 154ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 62/100\n",
"1/1 [==============================] - 0s 204ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 63/100\n",
"1/1 [==============================] - 0s 227ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 64/100\n",
"1/1 [==============================] - 0s 134ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 65/100\n",
"1/1 [==============================] - 0s 159ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 66/100\n",
"1/1 [==============================] - 0s 218ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 67/100\n",
"1/1 [==============================] - 0s 142ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 68/100\n",
"1/1 [==============================] - 0s 180ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 69/100\n",
"1/1 [==============================] - 0s 216ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 70/100\n",
"1/1 [==============================] - 0s 165ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 71/100\n",
"1/1 [==============================] - 0s 155ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 72/100\n",
"1/1 [==============================] - 0s 125ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 73/100\n",
"1/1 [==============================] - 0s 103ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 74/100\n",
"1/1 [==============================] - 0s 97ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 75/100\n",
"1/1 [==============================] - 0s 98ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 76/100\n",
"1/1 [==============================] - 0s 99ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 77/100\n",
"1/1 [==============================] - 0s 89ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 78/100\n",
"1/1 [==============================] - 0s 95ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 79/100\n",
"1/1 [==============================] - 0s 90ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 80/100\n",
"1/1 [==============================] - 0s 99ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 81/100\n",
"1/1 [==============================] - 0s 94ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 82/100\n",
"1/1 [==============================] - 0s 92ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 83/100\n",
"1/1 [==============================] - 0s 93ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 84/100\n",
"1/1 [==============================] - 0s 137ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 85/100\n",
"1/1 [==============================] - 0s 150ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 86/100\n",
"1/1 [==============================] - 0s 147ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 87/100\n",
"1/1 [==============================] - 0s 139ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 88/100\n",
"1/1 [==============================] - 0s 148ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 89/100\n",
"1/1 [==============================] - 0s 168ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 90/100\n",
"1/1 [==============================] - 0s 147ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 91/100\n",
"1/1 [==============================] - 0s 180ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 92/100\n",
"1/1 [==============================] - 0s 168ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 93/100\n",
"1/1 [==============================] - 0s 184ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 94/100\n",
"1/1 [==============================] - 0s 206ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 95/100\n",
"1/1 [==============================] - 0s 212ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 96/100\n",
"1/1 [==============================] - 0s 196ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 97/100\n",
"1/1 [==============================] - 0s 194ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 98/100\n",
"1/1 [==============================] - 0s 182ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 99/100\n",
"1/1 [==============================] - 0s 170ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n",
"Epoch 100/100\n",
"1/1 [==============================] - 0s 313ms/step - loss: 0.0000e+00 - accuracy: 1.0000 - val_loss: 0.0000e+00 - val_accuracy: 1.0000\n"
]
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "lUqWQILQ9R8h"
},
"execution_count": 3,
"outputs": []
}
]
}
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