Most artificial intelligence today is implemented using some form of neural network. In my last two articles, I introduced neural networks and showed you how to build a neural network in Java. The power of a neural network derives largely from its capacity for deep learning, and that capacity is built on the concept and execution of backpropagation with gradient descent. I’ll conclude this short series of articles with a quick dive into backpropagation and gradient descent in Java.
