In CNNs, the layers that preserve the spatial relationships between pixels by learning image features through small squares of input data are called _______ layers.
- Pooling
- Convolution
- Fully Connected
- Batch Normalization
In CNNs, the layers that preserve the spatial relationships between pixels by learning image features through small squares of input data are called "Convolution" layers. These layers apply convolutional operations to extract features from the input data, preserving the local spatial relationships in the image.
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