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

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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

メディア	書籍 Paperback Book (ソフトカバーで背表紙を接着した本)
リリース済み	2022年7月8日
ISBN13	9781803241333
出版社	Packt Publishing Limited
ページ数	288
寸法	150 × 220 × 10 mm · 498 g
言語	英語

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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

Yong Liuの他の作品を見る

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