This section focuses on deploying real-world models.

  • Distributed TensorFlow, which explains how to create a cluster of TensorFlow servers.
  • TensorFlow on Hadoop
  • TensorFlow on S3
  • TensorFlow serving, an open-source, flexible, high-performance serving system for machine-learned models designed for production environments. TensorFlow Serving provides out-of-the-box integration with TensorFlow models.
  • TensorFlow Extended (TFX) is an end-to-end machine learning platform for TensorFlow. Implemented at Google, we've open sourced some TFX libraries with the rest of the system to come.