Overview

    In the guide you will find documentation about specific functionality of the R packages in the TensorFlow ecosystem.

    Essential documentation

    If you are just getting started started with TensorFlow for R, we recommend reading the following selected topics in the guide:

    Customization

    Read the following guides for more information on how to customize your model with TensorFlow and Keras:

    • Custom Layers: Create custom layers for your Keras models.
    • Callbacks: Using callbacks to customize model training.
    • Ragged Tensors: Data structure useful for sequences of variable length.
    • Feature Spec API: Use the feature spec interface to build models for tabular data.

    See also the deployment guide.