mrdbourke/cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial.
Covers end-to-end ML deployment workflows using TensorFlow SavedModels and Google Cloud Platform services (AI Platform for model hosting, Cloud Storage for artifact management, App Engine for application deployment). The tutorial demonstrates containerizing a Streamlit-based food classification application with Docker and connecting it to cloud-hosted inference endpoints via service account credentials. Includes practical model training code, deployment scripts, and hands-on guidance for integrating Google Cloud SDKs with local development workflows.
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Nov 12, 2022
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