About the Advanced Deployment Scenarios with TensorFlow category

Welcome to course 4 of Tensorflow Data and Deployment

In this final course, you’ll explore four different scenarios you’ll encounter when deploying models.

  • You’ll be introduced to TensorFlow Serving, a technology that lets you do inference over the web.
  • You’ll move on to TensorFlow Hub, a repository of models that you can use for transfer learning.
  • Then you’ll use TensorBoard to evaluate and understand how your models work, as well as share your model metadata with others.
  • Finally, you’ll explore federated learning and how you can retrain deployed models with user data while maintaining data privacy.

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