Swift for TensorFlow is a next generation system for deep learning and differentiable computing.
By integrating directly with a general purpose programming language, Swift for TensorFlow enables more powerful algorithms to be expressed like never before.
How it works
Differentiable programming gets first-class support in a general-purpose programming language. Take derivatives of functions, and make custom data structures differentiable in an instant.
New APIs, informed by the best practices of today and the research directions of tomorrow, are easier to use and more powerful.
Builds on TensorFlow
APIs give you transparent access to all low-level TensorFlow operators.
Building upon Jupyter and LLDB, Swift in Colab improves your productivity with helpful tooling such as context-aware autocomplete.
Swift for TensorFlow tutorials
Tutorials for getting started
See more ways to participate in the TensorFlow community.