This is a companion discussion topic for the original entry at:
Machine Learning with TensorFlow and R
http://www.rstudio.com/resources/videos/machine-learning-with-tensorflow-and-r/
TensorFlow™ is an open-source software library for numerical computation using data flow graphs. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well. In this talk we’ll explore the use of TensorFlow from R (https://tensorflow.rstudio.com/), describing the complete workflow including data ingestion, training, and deploying models into production.
J.J. Allaire - Founder and CEO, RStudio
J.J. is the maintainer of the R interfaces to TensorFlow and Keras.