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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2022. gada 8. jūlijs |
| ISBN13 | 9781803241333 |
| Izdevēji | Packt Publishing Limited |
| Lapas | 288 |
| Izmēri | 150 × 220 × 10 mm · 498 g |
| Valoda | Angļu |
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