Название: Engineering Deep Learning SystemsАвтор: Chi Wang and Donald Szeto
Издательство: Manning Publications
Год: 2022 MEAP V7
Формат: True PDF
Страниц: 280
Размер: 27,1 Mb
Язык: English
Design systems optimized for deep learning models. Written for software engineers, this book teaches you how to implement a maintainable platform for developing deep learning models. Engineering Deep Learning Systems is a practical guide for software engineers and data scientists who are designing and building platforms for deep learning. It’s full of hands-on examples that will help you transfer your software development skills to implementing deep learning platforms.
In Engineering Deep Learning Systems , you’ll learn how to build automated and scalable services for core tasks like dataset management, model training/serving, and hyperparameter tuning. This book is the perfect way to step into an exciting—and lucrative—career as a deep learning engineer.