Understanding the feed-forward mechanism is required in order to create a neural network that solves difficult practical problems such as predicting the result of a football game or the movement of a ...

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. Artificial intelligence ...

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Andy Smith is a Certified Financial Planner (CFP®), licensed realtor and educator with over 35 years of diverse ...

In this special guest feature, Gary Baum, Vice President of Marketing at MyScript, talks about how handwriting recognition is enhancing machine (and human) learning. As an input method, handwriting ...

There are many things computers can do better than humans—calculate square roots or retrieve a web page instantaneously—but our incredible brains are still a step ahead when it comes to common sense, ...

Dr. Tam Nguyen receives funding from National Science Foundation. He works for University of Dayton. There are many applications of neural networks. One common example is your smartphone camera’s ...

An artificial neural network models biological synapses and neurons and can be used to make predictions for complex data sets. Neural networks and their associated algorithms are among the most ...