Skip to content

ch12

Directory actions

More options

Directory actions

More options

Latest commit

 

History

History

ch12

readme.md

Ch 12: Taking TensorFlow to Production

  1. Visualizing graphs in TensorBoard
  • How to visualize graphs and important values (loss, accuracy, batch training time, and so on) even during training.
  1. Managing Hyperparameter Tuning with TensorBoard’s HParams
  • How HParams HParams, a TensorBoard plugin, allows finding the better hyperparameters optimization.
  1. Implementing unit tests using tf.test
  • How to implement test using TensorFlow's testing framework.
  1. Using multiple executors
  • How to use a machine with multiple devices. E.g., a machine with a CPU, and one or more GPUs.
  1. Parallelizing TensorFlow using tf.distribute.strategy
  • How to use mirrored strategy for speedup the training.
  1. Saving and restoring a TensorFlow model
  • How to save and restore a TensorFlow model.
  1. Using TensorFlow Serving
  • How to deploy models using TensorFlow Serving component (TFX).