James McCaffrey explains what neural network activation functions are and why they're necessary, and explores three common activation functions.

Here's how to use non-standard activation functions to customize your neural network system.

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks.

Hidden Layers: Intermediate layers where data transformation occurs through weighted connections and activation functions. Neural networks can have multiple hidden layers in deep learning models.

The device implements one of the most commonly used activation functions in neural network training called a rectified linear unit.

Explore the role of activation functions in deep learning and how they help neural networks learn complex patterns.