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Its function is to progressively reduce the spatial size of the representation to reduce the amount of parameters and computation in the network. Pooling layer operates on each feature map independently.
The convolution layer comprises of a set of independent filters (6 in the example shown). Each filter is independently convolved with the image and we end up with …
For every dot product taken, the result is a scalar.