Abstract: The Keras library has made neural networks accessible to the masses through a simple Python API. The R interface to Keras, by RStudio, brings this accessibility to R users. This hands on workshop, with cloud environment provided, will guide you through creating deep neural networks in R, with problems that don’t need your own data centre to solve.
In this workshop we will get you up and running with Keras for R. We will cover some theoretical background but the focus is on implementation. We will demonstrate how to setup different types of neural network to solve simple problems with time series, and give you the opportunity to build your own with guided exercises.
Bio: Doug is a Senior Data Scientist at Mango Solutions. A statistical physicist by training, he now practices and teaches a wide range of data science disciplines from machine learning pipelines to graph theory.