4.4. Why do we need to add an activation function after a convolutional layer?

Activation functions introduce non-linearity, allowing the network to learn complex

patterns and features.

Activation functions reduce the dimensionality of the feature maps.

Activation functions decreases the computational time of the convolution operation

C