At the same time, Keras 2.1.3 support will also be deprecated together with TensorFlow 1.5. Keras 2.2.4 users will need to switch TensorFlow backend from 1.11 to 1.14.
If you are training or deploying the following impacted models:
Keras 2.1.3 with TensorFlow 1.5 backend
Keras 2.2.4 with TensorFlow 1.11 backend
You have the following upgrade options:
Keras 2.1.6 with TensorFlow 1.13 backend
Keras 2.2.4 with TensorFlow 1.14 backend
Depending on the implementation of the code or model, you may need to make minor modifications based on the TensorFlow version compatibility guide for a smooth transition. In many cases, TensorFlow is backward compatible.
You can read more about working with Watson Machine Learning runtimes, including the new TensorFlow 1.14 runtime, in our documentation.
Here are the dates you need to know
TensorFlow 1.14 runtimes available: October 29, 2019
Deprecate unsecure TensorFlow versions announcement: October 29, 2019
End of Life for unsecure TensorFlow versions: November 26, 2019