While there are lots of things that artificial intelligence can’t do yet—science being one of them—neural networks are proving themselves increasingly adept at a huge variety of pattern recognition ...

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 ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

A topic that's often very confusing for beginners when using neural networks is data normalization and encoding. Because neural networks work internally with numeric data, binary data (such as sex, ...

We trained a neural network on the last nine years of Major League Baseball games. It learned to weigh large amounts of data to predict the outcomes of plate appearances more accurately than previous ...

James McCaffrey uses cross entropy error via Python to train a neural network model for predicting a species of iris flower. In this article, I explain cross entropy ...