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English | 2022 | ISBN: 978-1633439863 | 194 pages | True PDF | 19.18 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.
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