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Название: Designing Deep Learning Systems: A software engineer's guide (MEAP v8)
Автор: Chi Wang, Donald Szeto
Издательство: Manning Publications
Год: 2023
Страниц: 475
Язык: английский
Формат: pdf, epub
Размер: 20.2 MB
A vital guide to building the platforms and systems that bring Deep Learning models to production. Deep learning systems are the components and infrastructure essential to supporting a Deep Learning model in a production environment. Written especially for software engineers with minimal knowledge of deep learning’s design requirements, Designing Deep Learning Systems is full of hands-on examples that will help you transfer your software development skills to creating these 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. To be practically usable, a Deep Learning model must be built into a software platform. As a software engineer, you need a deep understanding of deep learning to create such a system. This book gives you that depth.
Автор: Chi Wang, Donald Szeto
Издательство: Manning Publications
Год: 2023
Страниц: 475
Язык: английский
Формат: pdf, epub
Размер: 20.2 MB
A vital guide to building the platforms and systems that bring Deep Learning models to production. Deep learning systems are the components and infrastructure essential to supporting a Deep Learning model in a production environment. Written especially for software engineers with minimal knowledge of deep learning’s design requirements, Designing Deep Learning Systems is full of hands-on examples that will help you transfer your software development skills to creating these 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. To be practically usable, a Deep Learning model must be built into a software platform. As a software engineer, you need a deep understanding of deep learning to create such a system. This book gives you that depth.