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! # ...

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.