Managing the full TensorFlow training, tracking, and deployment lifecycle with MLflow (sponsored by Databricks)
"MLflow is an open source platform to manage the machine learning lifecycle, including experiment tracking, reproducible runs, and model packaging. Clemens Mewald (Databricks) offers an overview of the latest component of MLflow, a model registry that provides a collaborative hub where teams ca...
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| Formato: | Vídeo online |
| Idioma: | Inglés |
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[Place of publication not identified] :
O'Reilly Media
2020.
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822837106719 |
