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This talk introduces the new Keras interface for R. This is significant, because it opens up all the great innovation using Keras with a Tensorflow backend. The talk covers the history of connecting R/Python together, the importance of Keras, and then walks through several examples of how to use Keras. The examples include building image classifiers, modeling sequential data with RNNs, and generating data with a variational autoencoders. Code will be shared for all the examples.
Rajiv Shah is a data scientist with DataRobot and an Adjunct Assistant Professor at the University of Illinois at Chicago. He has previously worked as a data scientist for State Farm and Caterpillar. He is an active member of the data science community in Chicago with an interest into public policy issues around technology, such as surveillance in Chicago. He has a PhD from the University of Illinois at Urbana Champaign. You can find him on twitter at rajcs4 or his home page: