Overview This notebook demonstrates the implementation of Convolutional Neural Networks (CNNs) to classify handwritten digits from the MNIST dataset. It includes two architectures: LeNet-5 and AlexNet ...

Convolution filters can detect an edge or enhance certain characteristics of an image. The chapter describes the LeNet architecture in more detail.

model.add(tf.keras.layers.Input(shape=(32,32,3))) model.add(tf.keras.layers.Conv2D(16, kernel_size=(5,5), activation='relu', ...

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