TensorFlow 2.0 has arrived, with a focus on ease of use, developer productivity, and scalable, production-ready machine learning workloads. Some of the features you can expect to see in TF 2.0:

• Easy model building with Keras and eager execution.
• Robust model deployment in production on any platform.
• Powerful experimentation for research.
• Simplifying the API by cleaning up deprecated APIs and reducing duplication.
• Have low-level control with the Keras Subclassing API and?tf.Module.

What Should I Hack?

Use our official release of TensorFlow 2.0 to do something nifty: build a model, a mobile or web application, an art installation, or something else entirely! The sky is the limit - and creativity is encouraged. We're excited to see what you build!

Note: This release of TF 2.0 is a production release, on the bleeding edge of development. If you run into any snags or encounter any bugs, please submit an issue on GitHub.