Designing Deep Learning Systems
A software engineer's guide
(Sprache: Englisch)
Engineering Deep Learning Systems teaches you to design and implement an automated platform to support creating, training, and maintaining deep learning models. In it, you'll learn just enough about deep learning to understand the needs of the data...
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Engineering Deep Learning Systems teaches you to design and implement an automated platform to support creating, training, and maintaining deep learning models. In it, you'll learn just enough about deep learning to understand the needs of the data scientists who will be using your system. You'll learn to gather requirements, translate them into system component design choices, and integrate those components into a cohesive whole. A complete example system and insightful exercises help you build an intuitive understanding of DL system design.
Autoren-Porträt von Chi Wang, Donald Szeto
Chi Wang is a principal software developer in the Salesforce Einstein group where he builds the deep learning platform for millions of Salesforce customers. Previously, he worked at Microsoft Bing and Azure on building large-scale distributed systems. Chi has filed six patents, mostly in deep learning systems.Donald Szeto was the co-founder and CTO of PredictionIO, a startup that aimed to help democratize and accelerate the adoption of machine learning. PredictionIO was acquired by Salesforce, where he continued his work on machine learning and deep learning systems. Donald is currently investing in, advising, and mentoring technology startups.
Bibliographische Angaben
- Autoren: Chi Wang , Donald Szeto
- 2023, 360 Seiten, Masse: 18,5 x 23,4 cm, Taschenbuch, Englisch
- Verlag: Manning
- ISBN-10: 1633439860
- ISBN-13: 9781633439863
- Erscheinungsdatum: 25.07.2023
Sprache:
Englisch
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