Welcome to TensorFlow for R

An end-to-end open source machine learning platform




  • Build and train deep learning models easily with high-level APIs like Keras and TF Datasets.
  • Iterate rapidly and debug easily with eager execution.
  • Scale computations to accelerators like GPUs, TPUs, and clusters with graph execution.
  • Deploy models to the cloud, on-prem, in the browser, or on-device.
  • A comprehensive ecosystem of tools, libraries and community resources that lets beginners quickly get started, researchers push the state-of-the-art in ML, and engineers easily build and deploy ML powered applications.

Install Get Started

Tutorials

Tutorials help you get started with deep learning using end-to-end examples.

Guides

Guides explain the concepts and components of TensorFlow and Keras.

Examples

Examples demonstrate focused applications of deep learning workflows.

Learn More

The Deep Learning with R book shows you how to get started with Tensorflow and Keras in R, even if you have no background in mathematics or data science. The book covers:

  • Deep learning from first principles
  • Image classification and image segmentation
  • Time series forecasting
  • Text classification and machine translation
  • Text generation, neural style transfer, and image generation