In CNNs, the _______ layer is used to detect local features such as edges and textures.
- Convolutional
- Pooling
- Recurrent
- Fully Connected
The Convolutional layer in Convolutional Neural Networks (CNNs) is responsible for detecting local features in the input data, such as edges and textures. It does this by applying convolution operations across the input data, which allows the network to recognize spatial patterns in images or other structured data.
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