Neural Network Learning: Theoretical Foundations by Martin Anthony, Peter L. Bartlett

Neural Network Learning: Theoretical Foundations



Download Neural Network Learning: Theoretical Foundations




Neural Network Learning: Theoretical Foundations Martin Anthony, Peter L. Bartlett ebook
Publisher:
ISBN: 052111862X, 9780521118620
Format: pdf
Page: 404


Amazon.com: Neural Networks: Books Neural Network Learning: Theoretical Foundations by Martin Anthony and Peter L. Product DescriptionThis important work describes recent theoretical advances in the study of artificial neural networks. There are so many different books on Neural Networks: Amazon's Neural Network. At the end of the day it was decided that to wrap up all the discussions and move forward into designing the “Internet of Education” conference in 2013 as the yearly flagship conference of Knowledge 4 All Foundation Ltd. The artificial neural networks, which represent the electrical analogue of the biological nervous systems, are gaining importance for their increasing applications in supervised (parametric) learning problems. For beginners it is a nice introduction to the subject, for experts a valuable reference. 10th International Conference on Inductive Logic Programming,. 'The book is a useful and readable mongraph. Neural Network Learning: Theoretical Foundations: Martin Anthony. This important work describes recent theoretical advances in the study of artificial neural networks.