C++ Template Metaprogramming in Practice
A Deep Learning Framework
Using the implementation of a deep learning framework as an example, C++ Template Metaprogramming in Practice: A Deep Learning Framework explains the application of metaprogramming in a relatively large project and emphasizes ways to optimize systems performance. The book is suitable for developers with a basic knowledge of C++. Developers familiar with mainstream deep learning frameworks can also refer to this book to compare the differences between the deep learning framework implemented with metaprogramming and compile-time computing with deep learning frameworks using object-oriented methods.Consisting of eight chapters, the book starts w…
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Produktdetails
- ISBN: 978-1-00-021977-7
- EAN: 9781000219777
- Produktnummer: 34257198
- Verlag: Taylor & Francis Ltd.
- Sprache: Englisch
- Erscheinungsjahr: 2020
- Seitenangabe: 338 S.
- Plattform: EPUB
- Masse: 21'827 KB
- Auflage: 1. Auflage
- Abbildungen: 10 schwarz-weiße Fotos, 2 schwarz-weiße Tabellen
Über den Autor
Li Wei graduated from Tsinghua University in 2011 and has been engaged in the development and maintenance of the online prediction section of the deep learning machine translation system at Baidu's Natural Language Processing Department. He currently works for Microsoft Advanced Technology Center and has more than ten years of relevant development experience, with a strong interest in C++ template meta-programming and compile-time computing.
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