Shumin Fei & Zeng-Guang Hou 
Advances in Neural Networks – ISNN 2007 [PDF ebook] 
4th International Symposium on Neural Networks, ISNN 2007 Nanjing, China, June 3-7, 2007. Proceedings, Part III

This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs) . DNNs are currently widely used for many artificial in …

"Think AI" is a rapid-learning book that covers a wide range of Artificial Intelligence topics, including Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. …

This introduction to computers presents the fundamental ideas and principles on which modern computers are built. While used as a text for courses in computer appreciation as well as introductions to …

Virtual and extended reality technologies have come a long way since their inception, and today, they are poised to change how we work, learn, and interact with the world. From gaming and entertainme …

Learn Data Science from Scratch equips you with the essential tools and techniques, from Python libraries to machine learning algorithms, to tackle real-world problems and make informed decisions.Thi …

To understand the dynamic patterns of behaviours and interactions between athletes that characterize successful performance in different sports is an important challenge for all sport practitioners. …

SERI-2021 was a success with the presence of our valuable Guest Speakers who lead the discussion in various session in just the right direction showering the audiences with their esteemed valuable kn …

This book discusses the international legal issues underlying Internet Governance and proposes an international solution to its problems. The book encompasses a wide spectrum of current debate surrou …

An ideal reference source for CEOs, marketing and sales managers, sales consultants, and students of international marketing, Guide to Software Export provides a step-by-step approach to initiating o …

The second edition of "Machine Learning for Beginners" addresses key concepts and subjects in machine learning. The book begins with an introduction to the foundational principles of machin …