Activation Functions in Neural Networks | Generated by AI

Home PDF

The sigmoid, ReLU, and Leaky ReLU are all activation functions used in neural networks. Each of them has unique characteristics and is suited for different tasks depending on the type of problem being solved. Here’s a breakdown of the differences:

1. Sigmoid:

2. ReLU (Rectified Linear Unit):

3. Leaky ReLU:


Comparison Summary:

In practice:

Each of these activation functions has its place depending on the structure and goals of the neural network you’re building!


Back 2025.03.30 Donate