BOOKS - PROGRAMMING - Engineering Deep Learning Systems
US $5.85
457151
457151
Engineering Deep Learning Systems
Author: Chi Wang and Donald Szeto
Year: 2022 MEAP V7
Number of pages: 280
Format: PDF
File size: 27,1 MB
Language: ENG
Year: 2022 MEAP V7
Number of pages: 280
Format: PDF
File size: 27,1 MB
Language: ENG
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 trainingserving, and hyperparameter tuning. This book is the perfect way to step into an exciting—and lucrative—career as a deep learning engineer.