TensorFlow Release Notes

This document describes the key features, software enhancements and improvements, known issues, and how to run this container for the 19.03 and earlier releases. The TensorFlow framework can be used for education, research, and for product usage within your products; specifically, speech, voice, and sound recognition, information retrieval, and image recognition and classification. Furthermore, the TensorFlow framework can also be used for text-based applications, such as detection of fraud and threats, analyzing time series data to extract statistics, and video detection, such as motion and real time threat detection in gaming, security, etc. The TensorFlow container is released monthly to provide you with the latest NVIDIA deep learning software libraries and GitHub code contributions that have been sent upstream; which are all tested, tuned, and optimized.

To see a single view of the supported software and specific versions that come packaged with the frameworks based on the container image, see the Frameworks Support Matrix.