Pooling Layers Max Pooling Average Pooling

# Pooling Layers: Max Pooling, Average Pooling Are you ready to supercharge your Convolutional Neural Networks (CNNs) in TensorFlow? Pooling layers are a crucial component in CNN architecture, enabling your models to learn more robust and generalizable features. They reduce the spatial size of the representation, decreasing the number of parameters and computation in the network, and also help to control overfitting. In this comprehensive guide, we'll dive deep into two fundamental pooling tech