Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates.

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! # ...

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

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.

A neural network is a series of algorithms that seek to identify relationships in a data set via a process that mimics how the human brain works.

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