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:
Page: 404
Format: pdf
ISBN: 052111862X, 9780521118620


Neural Network Learning: Theoretical Foundations: Martin Anthony. Amazon.com: Neural Networks: Books Neural Network Learning: Theoretical Foundations by Martin Anthony and Peter L. Subjects: Neural and Evolutionary Computing (cs.NE); Information Theory (cs.IT); Learning (cs.LG); Differential Geometry (math.DG). Some titles of books I've been reading in the past two weeks: M. 10th International Conference on Inductive Logic Programming,. Bartlett — Neural Network Learning: Theoretical Foundations; M. 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. Cite as: arXiv:1303.0818 [cs.NE]. There are so many different books on Neural Networks: Amazon's Neural Network. Biggs — Computational Learning Theory; L. Опубликовано 31st May пользователем Vadym Garbuzov. 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. Ярлыки: tutorials djvu ebook hotfile epub chm filesonic rapidshare Tags:Neural Network Learning: Theoretical Foundations fileserve pdf downloads torrent book.