Activation Layers: These layers apply a non-linear function to the output of the convolutional layers, introducing non-linearity to the network and helping it learn complex patterns.

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! # ...