RESTful Machine Learning with Flask and TensorFlow Serving - Carlo Mazzaferro
PyData DC 2018
Those of us who use TensorFlow often focus on building the model that's most predictive, not the one that's most deployable. So how to put that hard work to work? In this talk, we'll walk through a strategy for taking your machine learning models from Jupyter Notebook into production and beyond.
Slides - https://www.slideshare.net/PyData/res...
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