Accelerating Deep Neural Networks (Hardcover) (ISBN-13: 9781009687089)

Deep learning models are powerful, but are often large, slow, and expensive to run. This book is a practical guide to accelerating and compressing neural networks using proven techniques such as quantization, pruning, distillation, and fast architectures. It explains how and why these methods work, fostering a comprehensive understanding. Written for engineers, researchers, and advanced students, the book combines clear theoretical insights with hands-on PyTorch implementations and numerical results. Readers will learn how to reduce inference time and memory usage, lower deployment costs, and select the right acceleration strategy for their task. Whether you're working with large language models, vision systems, or edge devices, this book gives you the tools and intuition needed to build faster, leaner AI systems, without sacrificing performance. It is perfect for anyone who wants to go beyond intuition and take a principled approach to optimizing AI systems

Author: Ryoma Sato
ISBN-10: 1009687085
ISBN-13: 9781009687089
Publisher: Cambridge University Press
Language: English
Published: 06/04/2026
Pages: 310
Format: Hardcover
Weight: 1.29lbs
Size: 9.00h x 6.00w x 0.75d