Pooling

Pooling is a downsampling technique used in convolutional neural networks (CNNs) to reduce the spatial dimensions of feature maps. It summarizes the features present in a region of the feature map into a single value. This helps to reduce the computational cost, control overfitting, and make the network more robust to variations in the input, such as small shifts or distortions.

Visit the following resources to learn more:

• @article@A Gentle Introduction to Pooling Layers for Convolutional Neural Networks
• @video@Understanding CNN | Pooling in CNNN