Our data science expert continues his exploration of neural network programming, explaining how regularization addresses the problem of model overfitting, caused by network overtraining.

When we discuss neural networks, this is always the hitch. In a broad sense, there is no problem solvable with a neural network that isn’t solvable using traditional techniques.

The best way to understand neural networks is to build one for yourself. Let's get started with creating and training a neural network in Java.

Our resident data scientist explains how to train neural networks with two popular variations of the back-propagation technique: batch and online.

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks.

The Open Neural Network Exchange format initiative was launched by Facebook, Amazon and Microsoft, with support from AMD, ARM, IBM, Intel, Huawei, NVIDIA and Qualcomm. Let me rephrase that as everyone ...