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Libraries and Frameworks Section 039

TensorFlow and Keras

For teams already on TensorFlow, and for anyone who inherits a Keras codebase and needs it to make sense.

Every lesson in this section is written by .

10 of 10 lessons published Three reading levels on every lesson

Start with “Sequential and functional models”

Lessons in order

Work top to bottom. Each lesson assumes the one above it.

  1. Sequential and functional models
  2. compile, fit and evaluate
  3. Callbacks
  4. Custom layers, losses and metrics
  5. Overriding train_step
  6. GradientTape
  7. tf.function, graphs and retracing
  8. tf.data input pipelines
  9. Saving and loading Keras models
  10. Stopping TensorFlow taking the whole GPU