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

Medie	Bøger Paperback Bog (Bog med blødt omslag og limet ryg)
Udgivet	8. juli 2022
ISBN13	9781803241333
Forlag	Packt Publishing Limited
Antal sider	288
Mål	150 × 220 × 10 mm · 498 g
Sprog	Engelsk

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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

Mere med Yong Liu

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