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.

In this situation, normed gradient descent is used, where the step size is chosen independent of the norm of the gradient. I applied gradient descent to linear regression. I generated some test data ...

Stochastic gradient descent is just a BAD IDEA unless your learning rate is tiny and you have a large number of epochs. I found this out by generating linear data with a known pattern. After shuffling ...