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