How many weights does the max-pooling layer have?
For example, if there are 10 inputs, a pooling filter of size 2, stride 2, how many weights, including bias, does a max-pooling layer have?
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A max-pooling layer doesn't have any trainable weights. It has only hyperparameters, but they are non-trainable. The max-pooling process calculates the maximum value of the filter, which consists of no weights and biases. It is purely a way to downscale the data to a smaller dimension.
