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Neural Network Learning: Theoretical Foundations Martin Anthony, Peter L. Bartlett
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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. Ярлыки: tutorials djvu ebook hotfile epub chm filesonic rapidshare Tags:Neural Network Learning: Theoretical Foundations fileserve pdf downloads torrent book. 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 book is a useful and readable mongraph. Share this I'm a bit of a freak – enterprise software team lead during the day and neural network researcher during the evening. 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. Опубликовано 31st May пользователем Vadym Garbuzov. Neural Network Learning: Theoretical foundations, M. Ci-dessous donc la liste de mes bouquins favoris sur le sujet:A theory of learning an… Hébergé par OverBlog.