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Deep Learning with Python by Francois Chollet

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Chapter 7. Advanced deep-learning best practices

This chapter covers

  • The Keras functional API
  • Using Keras callbacks
  • Working with the TensorBoard visualization tool
  • Important best practices for developing state-of-the-art models

This chapter explores a number of powerful tools that will bring you closer to being able to develop state-of-the-art models on difficult problems. Using the Keras functional API, you can build graph-like models, share a layer across different inputs, and use Keras models just like Python functions. Keras callbacks and the TensorBoard browser-based visualization tool let you monitor models during training. We’ll also discuss several other best practices including batch normalization, residual connections, hyperparameter ...

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