In a convolutional neural network (CNN), which type of layer is responsible for reducing the spatial dimensions of the input?
- Convolutional Layer
- Pooling Layer
- Fully Connected Layer
- Batch Normalization Layer
The Pooling Layer in a CNN is responsible for reducing the spatial dimensions of the input. This layer downsamples the feature maps, which helps in retaining important features and reducing computational complexity.
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