52 weeks Live Coding MLOPs: Episode 2: Serving TensorFlow Models

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United States Pragmatic AI Labs
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Published on ● Video Link: https://www.youtube.com/watch?v=KjLmN6MNKms


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Duration: 32:38
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In this episode of 52 weeks of Live Coding MLOps I dive into serving out TensorFlow models to the world.

00:00 Intro
02:00 TensorFlow Serving - What is it?
07:00 TensorFlow Serving colab notebook
08:54 Porting code from Colab to Github
10:00 Build Python Tensorflow model scaffolding
13:23 Using pip freeze to get a list of dependencies
17:00 Attemping a first script for MLOps
20:00 Saving the TensorFlow model
24:00 Installing debian packages for TensorFlow serving
29:00 Trying and failing to invoke the model

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O'Reilly Book: Practical MLOps: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017

O'Reilly Book: Python for DevOps: https://www.amazon.com/gp/product/B082P97LDW/

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