Back-propagation is arguably the single most important algorithm in machine learning. A complete understanding of back-propagation takes a lot of effort. But from a developer's perspective, there are ...

Back propagation requires a value for a parameter called the learning rate. The effectiveness of back propagation is highly sensitive to the value of the learning rate. Rprop was developed by ...

In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...