Activation Functions in JAX

Overview

Activation functions are applied in neural networks to ensure the network outputs the desired result. The activation function caps the output within a specific range. For instance, when solving a binary classification problem, the outcome should be a number between 0 and 1. This indicates the probability of an item belonging to either of the two classes.