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.

For example, if you have a neural network that predicts the scores of two basketball teams in an upcoming game, ... In this case, the back-propagation algorithm in method UpdateWeights succeeds in ...

In early December, dozens of alternatives to traditional backpropagation were proposed during a workshop at the NeurIPS 2020 conference, which took place virtually.

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.

The backpropagation algorithm, which is based on the derivation of a cost function, is used to optimize the connecting weights, but neural networks have a lot of other knobs to turn.

For example, if you have a neural network that predicts the scores of two basketball teams in an upcoming game, ... In this case, the back-propagation algorithm in method UpdateWeights succeeds in ...