R Interface to TensorFlow

TensorFlow™ is an open-source software library for Machine Intelligence. The R interface to TensorFlow let's you work productively using the high-level Keras and Estimator APIs, and when you need more control provides full access to the core TensorFlow API:

Keras API

The Keras API for TensorFlow provides a high-level interface for neural networks, with a focus on enabling fast experimentation.

Estimator API

The Estimator API for TensorFlow provides high-level implementations of common model types such as regressors and classifiers.

Core API

The Core TensorFlow API is a lower-level interface that provides full access to the TensorFlow computational graph.

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.