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Building a real-time image classification web app with Python and MLDB.ai

Pycon Canada 2016 Tutorial

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.

François Maillet - @mailletf - http://blog.francoismaillet.com

November 13, 15h10

About

This repo contains the built web app.

For those who attended the talk, the glitch that caused the built plugin to fail to load is now fixed. The code below will work properly.

Slides & screen cast

  • The slides are available in the talk folder of the repository.
  • The screencast of the talk is available on Youtube.

Installing the plugin

from pymldb import Connection
mldb = Connection()

mldb.put("/v1/plugins/pycon", {
    "type": "python",
    "params": {
        "address": "git://github.com/mldbai/pyconca-2016.git"
    }
})

You can then browse to https://<host:port>/v1/plugins/pycon/routes/static/index.html to access the UI.

About

Plugin and slides for Pycon Canada 2016 talk

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