Neural Network Learning: Theoretical Foundations pdf free
Par lovins scott le samedi, janvier 2 2016, 22:46 - Lien permanent
Neural Network Learning: Theoretical Foundations. Martin Anthony, Peter L. Bartlett
Neural.Network.Learning.Theoretical.Foundations.pdf
ISBN: 052111862X,9780521118620 | 404 pages | 11 Mb
Neural Network Learning: Theoretical Foundations Martin Anthony, Peter L. Bartlett
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Ci-dessous donc la liste de mes bouquins favoris sur le sujet:A theory of learning an… Hébergé par OverBlog. Learning theory (supervised/ unsupervised/ reinforcement learning) Knowledge based networks. Subjects: Neural and Evolutionary Computing (cs.NE); Information Theory (cs.IT); Learning (cs.LG); Differential Geometry (math.DG). Cite as: arXiv:1303.0818 [cs.NE]. Product DescriptionThis important work describes recent theoretical advances in the study of artificial neural networks. 'The book is a useful and readable mongraph. Neural Network Learning: Theoretical foundations, M. For beginners it is a nice introduction to the subject, for experts a valuable reference. Artificial Neural Networks Mathematical foundations of neural networks. This important work describes recent theoretical advances in the study of artificial neural networks.
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