Machine learning framework TensorFlow 1.15 is now available to download, offering those too shy to make the switch to TF 2.0 a way to emulate the new major version's behaviour, as well as offering additional features such as tensor equality and default GPU support. The release is the last of the 1.x branch, since the revamped TensorFlow 2.0 has already been out since end of September 2019. Moving forward, new features will likely be reserved for the more current series, but according to the release notes, patch releases will keep 1.x users safe from vulnerabilities for at least another year. Before updating, users should be aware of the breaking changes included in the release, especially in tf.keras. In the latter, the number of threads has to be configured using the tf.config.threading