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Modified 104 Keras MNIST tutorial
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Signed-off-by: Parth Mandaliya <parthx.mandaliya@intel.com>
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ParthM-GitHub committed Sep 28, 2023
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Showing 1 changed file with 6 additions and 6 deletions.
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"metadata": {},
"outputs": [],
"source": [
"from keras.layers import Flatten, Dense, Dropout, Conv2D, MaxPool2D\n",
"from keras.models import Sequential\n",
"from keras.datasets import mnist\n",
"from keras.utils import np_utils\n",
"from tensorflow.keras.layers import Flatten, Dense, Dropout, Conv2D, MaxPool2D\n",
"from tensorflow.keras.models import Sequential\n",
"from tensorflow.keras.datasets import mnist\n",
"from tensorflow.keras.utils import to_categorical\n",
"\n",
"nb_classes = 10\n",
"(X_train, y_train), (X_test, y_test) = mnist.load_data()\n",
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"print(\"Training matrix shape\", X_train.shape)\n",
"print(\"Testing matrix shape\", X_test.shape)\n",
"\n",
"Y_train = np_utils.to_categorical(y_train, nb_classes)\n",
"Y_test = np_utils.to_categorical(y_test, nb_classes)\n",
"Y_train = to_categorical(y_train, nb_classes)\n",
"Y_test = to_categorical(y_test, nb_classes)\n",
"\n",
"\n",
"model = Sequential([\n",
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