In Part 3 of this mini-series on TensorFlow high-level APIs, TensorFlow Engineering Manager Karmel Allison runs us through different scenarios using TensorFlow’s high-level APIs.

With the TensorFlow model defined, Karmel discusses how to establish layer architecture, and compile the model, adding the optimizer, loss, and metrics that we are interested in. She also runs through the various steps taken to refine the model.