Yong Liu
Practical Deep Learning at Scale with MLflow: Bridge the gap between offline experimentation and online production Yong Liu

Name: Practical Deep Learning at Scale with MLflow: Bridge the gap between offline experimentation and online production
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Author: Yong Liu

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Przewidywana dostawa 12 - 21 sty 2026

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Practical Deep Learning at Scale with MLflow: Bridge the gap between offline experimentation and online production

Yong Liu

This book teaches you how to use MLflow to support deep learning life cycle development with step-by-step instructions. You'll build NLP solutions from scratch and implement scalable deep learning pipelines from initial offline experimentation to production with coherent provenance tracking for code, data, models, and explainability.

288 pages

Media	Książki Paperback Book (Książka z miękką okładką i klejonym grzbietem)
Wydane	8 lipca 2022
ISBN13	9781803241333
Wydawcy	Packt Publishing Limited
Strony	288
Wymiary	150 × 220 × 10 mm · 498 g
Język	Angielski

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Yong Liu Practical Deep Learning at Scale with MLflow: Bridge the gap between offline experimentation and online production Yong Liu

Practical Deep Learning at Scale with MLflow: Bridge the gap between offline experimentation and online production

Yong Liu

Więcej od Yong Liu

Yong Liu
Practical Deep Learning at Scale with MLflow: Bridge the gap between offline experimentation and online production Yong Liu