Stop 08 · Deep Learning ArchitecturesTopics · 2/11

Pooling Layers

In short

Downsampling operations (max pooling, average pooling) that reduce spatial dimensions while retaining important features — used between convolutional layers to control model size.

How to learn this

1Add max pooling to a CNN and observe how output dimensions shrink.
2Learn the difference between max pooling and average pooling.
3Understand pooling's role in providing translation invariance.

More topics at this stop

Convolutional Neural Networks (CNNs)Recurrent Neural Networks (RNNs)LSTMs & GRUs Sequence-to-Sequence Models Attention Mechanism Transformer Architecture Positional Encoding Transfer Learning Autoencoders Generative Adversarial Networks (GANs, Overview)

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