Last November we presented a tutorial at Pycon Canada showing how to build a real-time image classification web app with MLDB:
In this tutorial, we will build a real-time machine learning web app using Python and MLDB.ai. We will use MLDB’s Tensorflow integration to use a deep learning model to embed images in a high dimensional conceptual space, and use that representation as features to do transfer learning. This will allow us to build a real-time image classification endpoint.
The slides and code for the plugin are available on github.