# aws-solutions-library-samples/guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker

<https://repo.masters-masters.com/repos/aws-solutions-library-samples/guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker>

[Accueil](https://repo.masters-masters.com/) › [aws-solutions-library-samples](https://repo.masters-masters.com/owners/aws-solutions-library-samples) › [guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker](https://repo.masters-masters.com/repos/aws-solutions-library-samples/guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker)

aws-solutions-library-samples/guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker, dépôt open source à 1 248 étoiles sur GitHub. Carte Bêta de…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [aws-solutions-library-samples](https://repo.masters-masters.com/owners/aws-solutions-library-samples) |
| Étoiles | 1 248 |
| Forks | 703 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | MIT-0 |
| Création | 2018 |
| Rang | [Bêta (700 à 1 999 ★)](https://repo.masters-masters.com/ranks/box_office) |
| Voir sur GitHub | [aws-solutions-library-samples/guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker](https://github.com/aws-solutions-library-samples/guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker) |

## Fiche du dépôt

DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control

Rang des dépôts qui ont 700 à 1 999 ★ sur GitHub. Probabilité publiée par carte tirée : 6 %. Rareté : Rare.

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