Pooling Layer
Neural Networks
Downsampling layer in CNNs
What is Pooling Layer?
Reduces spatial dimensions. Max pooling: takes maximum value in window. Average pooling: takes average.
Real-World Examples
- •2x2 max pooling halves dimensions
- •Reducing 28x28 to 14x14
- •Translation invariance
When to Use This
Standard in CNNs for dimension reduction and feature extraction
Related Terms
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