Book Details
Format
Hardback or Cased Book
Book Series
Springer Series in the Data Sciences
ISBN-10
3030367207
ISBN-13
9783030367206
Edition
1st ed. 2020
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
16.40 x 24.10 x 4.50 cms
Product Classification:
Mathematical theory of computationMachine learning
Ksh 14,400.00
Werezi Extended Catalogue
Delivery in 14 days
Delivery Location
Delivery fee: Select location
Delivery in 14 days
Secure
Quality
Fast
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 guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Nature Switzerland AG and it has pages.
