In a Convolutional Neural Network (CNN), what operation involves reducing the spatial dimensions of the input?
- Pooling (subsampling)
- Convolution
- Batch Normalization
- Activation Function
Pooling (subsampling) is used in CNNs to reduce the spatial dimensions of the input, allowing the network to focus on the most relevant features. It helps control the computational complexity and overfitting.
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