In deep learning, what function do convolutional layers primarily serve?
- Dimensionality reduction
- Feature extraction from input data
- Non-linear activation
- Weight initialization
Convolutional layers in deep learning primarily serve the purpose of feature extraction from input data. They apply filters to input data, capturing spatial hierarchies of features, which is crucial for tasks like image recognition.
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