Deep Learning in R vs. Python Using Keras
Deep Learning in R vs. Python Using Keras


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 at DataRobot, where his primary focus is helping customers improve their ability to make and implement predictions. Previously, Rajiv has been part of data science teams at Caterpillar and State Farm. He has worked on a variety of projects from a wide ranging set of areas including supply chain, sensor data, acturial ratings, and security projects. He has a PhD from the University of Illinois at Urbana-Champaign.

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