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.

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

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. The findings pave the ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

All the frameworks used for Deep Learning automatically implement Backpropagation for CNN. But as we humans are curious, we want to know how it works and not let it be implemented automatically.

A new model of learning centers on bursts of neural activity that act as teaching signals — approximating backpropagation, the algorithm behind learning in AI. Every time a human or machine learns how ...