Software Engineer's Guide to Deep Learning System Design (MEAP V08)
Chi Wang, Donald Szeto
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.
Kategorije:
Godina:
2023
Izdanje:
All 10 chapters
Izdavač:
Manning Publications
Jezik:
english
Strane:
474
ISBN 10:
1633439860
ISBN 13:
9781633439863
Fajl:
PDF, 10.47 MB
IPFS:
,
english, 2023
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