Multidimensional Neural Networks Unified Theory | G Rama Murthy | 1st Edition | New Age International Publication ( English Medium )

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Multidimensional Neural Networks Unified Theory | G Rama Murthy | 1st Edition | New Age International Publication ( English Medium )

The book "Multidimensional Neural Networks Unified Theory" by G Rama Murthy is a comprehensive guide to understanding the complex world of neural networks. In this 1st edition, the author delves into the intricacies of multidimensional neural networks and presents a unified theory that brings together various concepts and techniques in the field. The book begins with an introduction to neural networks and their applications in various fields such as artificial intelligence, machine learning, and data science. It then goes on to explore the different types of neural networks, including feedforward neural networks, recurrent neural networks, and convolutional neural networks. One of the key highlights of this book is the unified theory proposed by the author, which provides a systematic framework for understanding and analyzing multidimensional neural networks. The theory brings together concepts from linear algebra, calculus, and statistics to provide a comprehensive understanding of how neural networks work and how they can be optimized for better performance. Throughout the book, the author provides numerous examples and case studies to illustrate the concepts discussed. Readers will learn how to design and train neural networks for various tasks, such as image recognition, natural language processing, and time series forecasting. The book also covers advanced topics such as deep learning, reinforcement learning, and generative adversarial networks. Whether you are a student, researcher, or practitioner in the field of artificial intelligence, this book will serve as a valuable resource for understanding the latest advancements in neural network technology. With its clear and concise explanations, practical examples, and unified theory framework, "Multidimensional Neural Networks Unified Theory" is a must-have for anyone looking to expand their knowledge of neural networks.

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Product Details

SKU / BOOK Code:	NewAge-Neural-Network(E)
Publisher:	New Age International Publishers
Author:	G Rama Murthy
Binding Type:	Hardcover
No. of Pages:	168
ISBN-10:	93-86286-77-2
ISBN-13:	978-93-86286-77-2
Edition:	1st Edition
Language:	English Medium
Publish Year:	2026-07
Weight (g):	100
Product Condition:	New
Reading Age:	Above 18 Years
Country of Origin:	India
Genre:	Textbooks & Study Guides
Manufacturer:	New Age International Publishers
Importer:	New Age International Publishers
Packer:	Fullfilled by Supplier

Product Description

Multidimensional Neural Networks Unified Theory | G Rama Murthy | 1st Edition | New Age International Publication ( English Medium )

The book "Multidimensional Neural Networks Unified Theory" by G Rama Murthy is a comprehensive guide to understanding the complex world of neural networks. In this 1st edition, the author delves into the intricacies of multidimensional neural networks and presents a unified theory that brings together various concepts and techniques in the field. The book begins with an introduction to neural networks and their applications in various fields such as artificial intelligence, machine learning, and data science. It then goes on to explore the different types of neural networks, including feedforward neural networks, recurrent neural networks, and convolutional neural networks. One of the key highlights of this book is the unified theory proposed by the author, which provides a systematic framework for understanding and analyzing multidimensional neural networks. The theory brings together concepts from linear algebra, calculus, and statistics to provide a comprehensive understanding of how neural networks work and how they can be optimized for better performance. Throughout the book, the author provides numerous examples and case studies to illustrate the concepts discussed. Readers will learn how to design and train neural networks for various tasks, such as image recognition, natural language processing, and time series forecasting. The book also covers advanced topics such as deep learning, reinforcement learning, and generative adversarial networks. Whether you are a student, researcher, or practitioner in the field of artificial intelligence, this book will serve as a valuable resource for understanding the latest advancements in neural network technology. With its clear and concise explanations, practical examples, and unified theory framework, "Multidimensional Neural Networks Unified Theory" is a must-have for anyone looking to expand their knowledge of neural networks.

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