The algorithm works by calculating the gradient of the loss function with respect to the weights, which is used to update the weights using gradient descent. One of the most significant contributions ...

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 ...

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 ...

Physicists have devised an algorithm that provides a mathematical framework for how learning works in lattices called mechanical neural networks.