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

This article describes the backpropagation algorithm, a basic neural network, and its implementation on a Lego Roverbot with Java.

A new model of learning centers on blasts of neural activity that act as teaching signals—approximating an algorithm called backpropagation.

Recent information from the National Intellectual Property Administration indicates that Beijing Humanoid Robot Innovation Center Co., Ltd. (hereinafter referred to as "Innovation Center") applied for ...

Hinton’s backpropagation algorithm allowed LeCun to train models deep enough to perform well on real-world tasks like handwriting recognition.

Backpropagation has since become one of the most widely used algorithms in the field of artificial intelligence. After the publication of the backpropagation algorithm, it quickly became a popular ...

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 ...

Backpropagation is not limited to function derivatives. Any algorithm that effectively takes the loss function and applies gradual, positive changes back through the network is valid.

The Forward-Forward algorithm (FF) is comparable in speed to backpropagation but has the advantage that it can be used when the precise details of the forward computation are unknown.

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