Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code.

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 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 ...