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

Track, store, versionize, and deploy deep learning models and model pipelines for different use casesKey FeaturesFocus on deep learning models and frameworks that solve practical problemsExplore detailed example applications using deep learning models and pipeline managementLearn to train, test, and...

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Bibliographische Detailangaben

Hauptverfasser:	Liu, Yong, Zaharia, Matei
Format:	Buch
Sprache:	eng
Online-Zugang:	Volltext
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