Which layer in a CNN is responsible for reducing the spatial dimensions of the input data?
- Convolutional Layer
- Pooling Layer
- Fully Connected Layer
- Activation Layer
The Pooling Layer is responsible for spatial dimension reduction. It downsamples the feature maps, reducing the amount of computation needed and retaining important information.
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