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

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

Subjects: Neural and Evolutionary Computing (cs.NE); Information Theory (cs.IT); Learning (cs.LG); Differential Geometry (math.DG). Artificial Neural Networks Mathematical foundations of neural networks. Product DescriptionThis important work describes recent theoretical advances in the study of artificial neural networks. Cite as: arXiv:1303.0818 [cs.NE]. 'The book is a useful and readable mongraph. For beginners it is a nice introduction to the subject, for experts a valuable reference. Bartlett — Neural Network Learning: Theoretical Foundations; M. 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. Learning theory (supervised/ unsupervised/ reinforcement learning) Knowledge based networks. Biggs — Computational Learning Theory; L.