The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning

Language: English

Published by Springer Nature Switzerland AG, CH, 2025

9819647053 / 9789819647057

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This book offers an in-depth exploration of the mathematical foundations underlying transformer networks, the cornerstone of modern AI across various domains. Unlike existing literature that focuses primarily on implementation, this work delves into the elegant geometry, symmetry, and mathematical structures that drive the success of transformers. Through rigorous analysis and theoretical insights, the book unravels the complex relationships and dependencies that these models capture, providing a comprehensive understanding of their capabilities. Designed for researchers, academics, and advanced practitioners, this text bridges the gap between practical application and theoretical exploration. Readers will gain a profound understanding of how transformers operate in abstract spaces, equipping them with the knowledge to innovate, optimize, and push the boundaries of AI. Whether you seek to deepen your expertise or pioneer the next generation of AI models, this book is an essential resource on the mathematical principles of transformers.

Seller Inventory # LU-9789819647057

Title
The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning
Author
Balasubramanian Raman, Pradeep Singh
Publisher
Springer Nature Switzerland AG, CH
Publication year
2025
Condition
New
Binding
Hardback
Language
English
ISBN 10
9819647053
ISBN 13
9789819647057

Rarewaves.com UK

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