Build your own backpropagation algorithm from scratch using Python — perfect for hands-on learners!

Hinton’s jokes belied a serious pursuit: using AI to understand the brain. Today, deep nets rule AI in part because of an algorithm called backpropagation, or backprop. The algorithm enables deep nets ...

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 ...

Back-propagation is the most common algorithm used to train neural networks. There are many ways that back-propagation can be implemented. This article presents a code implementation, using C#, which ...

The goal of the backpropagation algorithm is to adjust input weights so that the network will produce a higher value if it is shown this picture again—and, hopefully, other images containing hot ...

The algorithm is based on an approach called backpropagation, which has been used to enable learning in both digital and optical systems. Because of the algorithm's apparent indifference to how ...

Hinton's motivation for the algorithm is to address some of the shortcomings of standard backpropagation training which requires full knowledge of the computation in the forward pass to compute ...