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Unlike a standard Feed-Forward network that only uses Dense (fully connected) layers, a Convolutional Neural Network is built by stacking three specific types of layers in a repeating sequence.
These three fundamental building blocks are the Convolutional Layer, the Activation Layer, and the Pooling Layer.
