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examples/3_NeuralNetworks/convolutional_network.py

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# Network Parameters
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num_input = 784 # MNIST data input (img shape: 28*28)
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num_classes = 10 # MNIST total classes (0-9 digits)
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dropout = 0.75 # Dropout, probability to keep units
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dropout = 0.25 # Dropout, probability to drop a unit
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# Create the neural network

notebooks/3_NeuralNetworks/convolutional_network.ipynb

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"# Network Parameters\n",
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"num_input = 784 # MNIST data input (img shape: 28*28)\n",
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"num_classes = 10 # MNIST total classes (0-9 digits)\n",
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"dropout = 0.75 # Dropout, probability to keep units"
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"dropout = 0.25 # Dropout, probability to drop a unit"
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]
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},
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{

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