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Engineering Deep Learning Systems (2023)

Engineering Deep Learning Systems (2023)

English | 2023 | ISBN: ‎ 978-1633439863 | 280 pages | True PDF | 27.17 MB

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.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.