Practical Deep Learning at Scale with MLflow: Bridge the gap between offline experimentation and online production (Repost)
Practical Deep Learning at Scale with MLflow:
Bridge the gap between offline experimentation and online production
English | 2022 | ISBN: 9781803241333 | 288 Pages | PDF True | 5.2 MB
Bridge the gap between offline experimentation and online production
English | 2022 | ISBN: 9781803241333 | 288 Pages | PDF True | 5.2 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.