Mon premier blog

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

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

For beginners it is a nice introduction to the subject, for experts a valuable reference. This important work describes recent theoretical advances in the study of artificial neural networks. Biggs — Computational Learning Theory; L. Some titles of books I've been reading in the past two weeks: M. 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. Share this I'm a bit of a freak – enterprise software team lead during the day and neural network researcher during the evening. Although this blog includes links to other Internet sites, it takes no responsibility for the content or information contained on those other sites, nor does it exert any editorial or other control over those other sites. Bartlett — Neural Network Learning: Theoretical Foundations; M. 'The book is a useful and readable mongraph. My guess is that these patterns will not only be useful for machine learning, but also any other computational work that involves either a) processing large amounts of data, or b) algorithms that take a significant amount of time to execute. Cheap This important work describes recent theoretical advances in the study of artificial neural networks.