This session will introduce TensorFlow Extended (TFX), TensorFlow Hub, and announce new innovations and features in TensorFlow Serving. As machine learning is evolving from experimentation to serve production workloads, so does the need to effectively manage the end-to-end training and production workflow including model management, versioning, and serving. TFX provides this solution to Google and you'll hear about the release plans to deliver it to the community. TensorFlow Hub is a central repository of reusable parts of TensorFlow models. With its libraries, you can incorporate these parts in your models for transfer learning and package them up to be served with TensorFlow Serving.
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