Practical Deep Learning at Scale with MLflow - Bridge the gap between offline experimentation and online production
- CategoryOther
- TypeE-Books
- LanguageEnglish
- Total size18.2 MB
- Uploaded Byfreecoursewb
- Downloads25
- Last checkedJul. 14th '22
- Date uploadedJul. 12th '22
- Seeders 3
- Leechers1
Practical Deep Learning at Scale with MLflow: Bridge the gap between offline experimentation and online production 
https://DevCourseWeb.com
English | 2022 | ISBN: 1803241330 | 395 pages | PDF,EPUB | 18.19 MB
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 experimentation to production with provenance tracking
Learn to train, run, tune and deploy deep learning pipelines with explainability and reproducibility
Files:
[ DevCourseWeb.com ] Practical Deep Learning at Scale with MLflow - Bridge the gap between offline experimentation and online production- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here !
- Bonus Resources.txt (0.4 KB)
- Practical Deep Learning at Scale with MLflow.epub (7.7 MB)
- Practical Deep Learning at Scale with MLflow.pdf (10.5 MB)
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