Which layer type in a neural network is primarily responsible for feature extraction and spatial hierarchy?
- Input Layer
- Convolutional Layer
- Fully Connected Layer
- Recurrent Layer
Convolutional Layers in neural networks are responsible for feature extraction and learning spatial hierarchies, making them crucial in tasks such as image recognition. They apply filters to the input data, capturing different features.
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