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NEURAL NETWORKS

NEURAL NETWORKS
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NEURAL NETWORKS
  • Stock Status: In Stock.
  • Publisher: Tata McGraw Hill Publications
  • Author Name:   Kumar;
  • ISBN-13:  9781259006166
  • Edition: 1st Edition
  • Book Language:  English
  • Available Book Formats: Paperback
No. Of Views: 657
₹594
₹675
Reward Points: 1450
This revised edition of Neural Networks is an up-to-date exposition of the subject and continues to provide an understanding of the underlying geometry of foundation neural network models while stressing on heuristic explanations of theoretical results. The highlight of this book is its easy-to-read format and a balanced mix of both theory and practice, without compromising on the requisite mathematical rigor. Professor Kumar, in this book, has successfully maintained excellent pictorial description integrated with the concepts and interesting pedagogy to render sound learning.Features: • Includes real-world applications for all foundation models • New dedicated chapters on ‘The Brain Metaphor’ and ‘Evolutionary Algorithms’ • Integrates Pseudo-code operational summaries and well-document..
Pustak Details
Sold ByTata McGraw Hill Publications
AuthorKumar
ISBN-139781259006166
FormatPaperback
LanguageEnglish
CategoryOther (Books)

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Book Description

NEURAL NETWORKS

This revised edition of Neural Networks is an up-to-date exposition of the subject and continues to provide an understanding of the underlying geometry of foundation neural network models while stressing on heuristic explanations of theoretical results. The highlight of this book is its easy-to-read format and a balanced mix of both theory and practice, without compromising on the requisite mathematical rigor. Professor Kumar, in this book, has successfully maintained excellent pictorial description integrated with the concepts and interesting pedagogy to render sound learning.Features: • Includes real-world applications for all foundation models • New dedicated chapters on ‘The Brain Metaphor’ and ‘Evolutionary Algorithms’ • Integrates Pseudo-code operational summaries and well-documented MATLAB code segments for all models
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