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Deep Learning Architectures : A Mathematical Approach - 1st ed. 2020

By: (Author) Ovidiu Calin

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Ksh 14,400.00

Format: Hardback or Cased Book

ISBN-10: 3030367207

ISBN-13: 9783030367206

Edition: 1st ed. 2020

Series: Springer Series in the Data Sciences

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: CH

Country of Publication: GB

Publication Date: Feb 14th, 2020

Print length: 760 Pages

Weight: 1,784 grams

Dimensions (height x width x thickness): 16.40 x 24.10 x 4.50 cms

Product Classification: Mathematical theory of computation
Machine learning

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This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors. The book bridges the gap between ideas and concepts of neural networks, which are used nowadays at an intuitive level, and the precise modern mathematical language, presenting the best practices of the former and enjoying the robustness and elegance of the latter. This book can be used in a graduate course in deep learning, with the first few parts being accessible to senior undergraduates.  In addition, the book will be of wide interest to machine learning researchers who are interested in a theoretical understanding of the subject.    

Get Deep Learning Architectures by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by Springer Nature Switzerland AG and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment

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