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Engineering Deep Learning Systems

Af: Chi Wang, Donald Szeto Engelsk Paperback

Engineering Deep Learning Systems

Af: Chi Wang, Donald Szeto Engelsk Paperback
Tjek vores konkurrenters priser
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.

In   Engineering Deep Learning Systems  you will learn how to:

  • Transfer your software development skills to deep learning systems
  • Recognize and solve common engineering challenges for deep learning systems
  • Understand the deep learning development cycle
  • Automate training for models in TensorFlow and PyTorch
  • Optimize dataset management, training, model serving and hyperparameter tuning
  • Pick the right open-source project for your platform
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. 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.

about the technology

Behind every deep learning researcher is a team of engineers bringing their models to production. To build these systems, you need to understand how a deep learning system''s platform differs from other distributed systems. By mastering the core ideas in this book, you''ll be able to support deep learning systems in a way that''s fast, repeatable, and reliable.
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Tjek vores konkurrenters priser
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.

In   Engineering Deep Learning Systems  you will learn how to:

  • Transfer your software development skills to deep learning systems
  • Recognize and solve common engineering challenges for deep learning systems
  • Understand the deep learning development cycle
  • Automate training for models in TensorFlow and PyTorch
  • Optimize dataset management, training, model serving and hyperparameter tuning
  • Pick the right open-source project for your platform
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. 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.

about the technology

Behind every deep learning researcher is a team of engineers bringing their models to production. To build these systems, you need to understand how a deep learning system''s platform differs from other distributed systems. By mastering the core ideas in this book, you''ll be able to support deep learning systems in a way that''s fast, repeatable, and reliable.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 325
ISBN-13: 9781633439863
Indbinding: Paperback
Udgave:
ISBN-10: 1633439860
Kategori: Web services
Udg. Dato: 6 jul 2023
Længde: 24mm
Bredde: 237mm
Højde: 187mm
Forlag: Manning Publications
Oplagsdato: 6 jul 2023
Forfatter(e): Chi Wang, Donald Szeto
Forfatter(e) Chi Wang, Donald Szeto

Kategori Web services

ISBN-13 9781633439863

Sprog Engelsk

Indbinding Paperback

Sider 325

Udgave

Længde 24mm

Bredde 237mm

Højde 187mm

Udg. Dato 6 jul 2023

Oplagsdato 6 jul 2023

Forlag Manning Publications

Kategori sammenhænge