Abstract: "Traditional learning methods for neural networks use some kind of gradient descent in order to determine the network's weights for a given task. Some

The twenty last years have been marked by an increase in available data and computing power. In parallel to this trend, the focus of neural network research and

Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously sc

About This Book This book is about training methods - in particular, fast second-order training methods - for multi-layer perceptrons (MLPs). MLPs (also known a

Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resour