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I have a image that goes into a neural network and each time it passes through the feature/activation map changes its size. Can you explain how they get the feature map size after applying a convolution layer and after a Max Pooling?<br />
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Here is a neural network for example:<br />
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Capturar.PNG

I have a image that goes into a neural network and each time it passes through the feature/activation map changes its size. Can you explain how they get the feature map size after applying a convolution layer and after a Max Pooling?

Here is a neural network for example:



How calculate the feature/activation map size on a neural network?

Networking is the process of connecting computing devices, peripherals and terminals together through a system that uses wiring, cabling or radio waves that enable their users to communicate, share information and interact over distances. Often associated are issues regarding operating systems, hardware and equipment, cloud and virtual networking, protocols, architecture, storage and management.