Activation Functions: The Secret Sauce of Neural Networks

This is a submission for DEV Computer Science Challenge v24.06.12: One Byte Explainer.

Explainer

Think of activation functions as the spice in neural networks. They add the kick of non-linearity, helping models learn complex patterns. Without them, it's like cooking but without seasoning. ReLU, Sigmoid, and Tanh are the pop-stars!

Additional Context