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

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

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! # ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification ...

Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.

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.

The best way to understand neural networks is to build one for yourself. Let's get started with creating and training a neural network in Java.