Practical Deep Learning at Scale with MLflow:
Bridge the gap between offline experimentation and online productionEnglish | 2022 | ISBN: 1803241330 | 288 Pages | PDF EPUB | 18 MB
The book starts with an overview of the deep learning (DL) life cycle and the emerging Machine Learning Ops (MLOps) field, providing a clear picture of the four pillars of deep learning: data, model, code, and explainability and the role of MLflow in these areas.
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