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GitHub / juvchan / amazon-sagemaker-tensorflow-custom-containers

This project shows step-by-step guide on how to build a real-world flower classifier of 102 flower types using TensorFlow, Amazon SageMaker, Docker and Python in a Jupyter Notebook.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/juvchan%2Famazon-sagemaker-tensorflow-custom-containers

Stars: 8
Forks: 5
Open issues: 4

License: apache-2.0
Language: Jupyter Notebook
Size: 8.73 MB
Dependencies parsed at: Pending

Created at: over 4 years ago
Updated at: over 2 years ago
Pushed at: over 2 years ago
Last synced at: about 2 years ago

Topics: amazonsagemaker, aws, classification-model, deep-learning, docker-container, tensorflow-datasets, tensorflow-hub, tensorflow-serving, tensorflow2, transfer-learning

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