What is the role of the ReLU activation function in CNNs?

To increase model complexity

To introduce non-linearity and mitigate vanishing gradients

To compress the output

To perform image segmentation

ReLU (Rectified Linear Unit) adds non-linearity and helps gradient flow during backpropagation.

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