Understanding how back-propagation works will enable you to use neural network tools more effectively.

Discover how backpropagation enables neural networks to learn and improve performance in AI. Dive into its step-by-step process.

Neural networks made from photonic chips can be trained using on-chip backpropagation – the most widely used approach to training neural networks, according to a new study.

A new technical paper titled “Hardware implementation of backpropagation using progressive gradient descent for in situ training of multilayer neural networks” was published by researchers at ...

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.

Reverse neural networks have also been used to create realistic audio and music. One example is the development of WaveNet, a generative neural network that is capable of producing high-quality audio ...

Understanding how back-propagation works will enable you to use neural network tools more effectively.