A convolutional neural network consists of an input layer, hidden layers and an output layer. In any feed-forward neural network, any middle layers are called hidden because their inputs and outputs are masked by the activation function and final convolution.
20sinkypriya/CONVOLUTIONAL-NEURAL-NETWORK-CNN-
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