4.5. What is the purpose of Max Pooling in Convolutional Neural Networks?

It increases the size of the feature map.

It helps in reducing spatial dimensions of the feature maps while retaining the most

relevant features.

It reduces the number of channels in the feature map.

It trains weights for feature extraction.