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 ...

The connection weights between these layers are trained by the backpropagation algorithm while minimizing a specific cost function. This framework happens to provide state-of-the-art results ...

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 ...

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 ...

But if the image was actually of a dog, then it’s up to the backpropagation algorithm to come in and fix what went wrong by adjusting the weights that connect neurons. These changes are based on ...