Practical Deep Learning at Scale with MLflow : Bridge the Gap Between Offline Experimentation and Online Production /

Train, test, run, track, store, tune, deploy, and explain provenance-aware deep learning models and pipelines at scale with reproducibility using MLflow Key Features Focus on deep learning models and MLflow to develop practical business AI solutions at scale Ship deep learning pipelines from experim...

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Bibliographic Details

Main Author:	Liu, Yong
Other Authors:	Zaharia, Matei
Format:	eBook
Language:	English
Published:	Birmingham : Packt Publishing, Limited, 2022.
Subjects:	Machine learning.
Online Access:	Connect to the full text of this electronic book