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Deploying TensorFlow models to Kubernetes — Machine Learning Zoomcamp Module 10
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Machine Learning Zoomcamp › Module 10: Kubernetes and TensorFlow Serving › Deploying TensorFlow models to Kubernetes
Notes
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- tensorflow serving in C++, gateway service as flask app
- gateway service: image preprocessing (i.e. resizing), prepare matrix, numpy arr, convert to protobuf, gRPC to communicate with tensorflow serving; postprocessing
- using telnet to check kubernetes pod
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