Price: $43.99
From the Publisher
Deep learning system engineering doesn’t have to be intimidating.
The demand for DL system engineers is soaring, but there’s a better way to prepare for the job than a deep (and daunting!) dive into DL algorithms and machine learning frameworks.
Learn by doing. In Designing Deep Learning Systems, take a hands-on approach and learn how to deliver robust, repeatable, reliable DL features—from research to production—and build intuition, confidence, and experience that will jumpstart your career as a DL systems engineer.
Learning style Take a big-picture look at a deep learning system and how its components work together Hone in on design principles for each specific component of a DL system Apply new knowledge and skills to hands-on exercises in every chapter Build an end-to-end, fully functioning DL system using code available in a repository Identify DL system user pain points, and how to solve them
Key Lessons
Be optimize-istic! In Chapter 5, learn how to optimize hyperparameters for your specific needs.
A compass to help you find your way. In Chapter 6, learn how to navigate the concepts, definitions, and abstract high-level system designs of the model serving domain.
Mission: Critical! In Chapter 7, hone your intuition for choosing the right approach for model serving, a mission-critical component in every machine learning system.
Playtime! In Appendix A, play around in a mini deep learning system where you’ll try your hand at the most common DL activities.
Setting it Apart
Designing Deep Learning Systems bridges the gap between traditional software engineering and deep learning system engineering.
Take a practical approach to learning and dive into relevant real-world concepts, skills, and concerns.
Written by experts with decades of combined experience, this distinctive guide tames the learning curve that aspiring new DL system engineers so often face—giving them a head-start in this rapidly growing field.
Publisher : Manning (July 25, 2023)
Language : English
Paperback : 360 pages
ISBN-10 : 1633439860
ISBN-13 : 978-1633439863
Item Weight : 1.46 pounds
Dimensions : 7.38 x 0.9 x 9.25 inches
Price: $43.99
