Gradient ascent is based on the principle of locating the greatest point on a function and then moving in the direction of the gradient. In this method, the gradient function is the function of x and ...

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. Most ...

What is a Gradient Descent? If you’ve read about how neural networks are trained, you’ve almost certainly come across the term “gradient descent” before ...

Abstract: A loss function has two crucial roles in training a conventional discriminant deep neural network (DNN): (i) it measures the goodness of classification and (ii) generates the gradients that ...

After upgrading from tfjs (v 0.15.3) and tfjs-node (v 0.3.2) to the latest release, I am not able to fit the previously working model anymore ...