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GitHub / sarah-zhan / birds-classification

Leverage TensorFlow, Keras, and Xception to train a predictive model with the provided dataset. Once the model is trained, it can be utilized tflite to make predictions. For deployment, upload the model to AWS ECR and employ AWS Lambda for model execution.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sarah-zhan%2Fbirds-classification
PURL: pkg:github/sarah-zhan/birds-classification

Stars: 0
Forks: 2
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 82.7 MB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago

Topics: aws-ecr, aws-lambda, aws-s3, docker, keras-classification-models, keras-tensorflow, tensorflow, tflite, xception

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