R Interface to Tensorflow

Build, deploy and experiment easily with TensorFlow from R


In the tutorials section you will find documentation for solving common Machine Learning problems using TensorFlow.


The guide section contains documents with in depth explanations of how TensorFlow works.

About Tensorflow

TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. 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.