Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...

Backpropagation in CNN is one of the very difficult concept to understand. And I have seen very few people actually producing ...

Obtaining the gradient of what's known as the loss function is an essential step to establish the backpropagation algorithm developed by University of Michigan researchers to train a material ...

A new model of learning centers on bursts of neural activity that act as teaching signals — approximating backpropagation, the algorithm behind learning in AI.