Pooling Methods in Deep Neural Networks, a Review

Understand

Nowadays, Deep Neural Networks are among the main tools used in various sciences.

• Convolutional Neural Network is a special type of DNN consisting of several convolution layers, each followed by an activation function and a pooling layer.
• The pooling layer is an important layer that executes the down-sampling on the feature maps coming from the previous layer and produces new feature maps with a condensed resolution.
• This layer drastically reduces the spatial dimension of input.