Skip to content

GitLab

Switch branch/tag
  1. 03 Aug, 2022 1 commit
  3. 18 Jan, 2022 1 commit
  5. 18 Aug, 2021 1 commit
  7. 13 Apr, 2021 1 commit
    • Reed Wanderman-Milne's avatar
      Use nonexperimental mixed precision API. · 4334a892
      Reed Wanderman-Milne authored 
      This replaces symbols in tf.keras.mixed_precision.experimental with the corresponding nonexperimental symbols. In some cases, passing a Policy is replaced with passing a policy name for conciseness.

Additionally, for the Shakespeare model, the loss_scale flag is removed, since supporting it with the nonexperimental API is slightly more verbose and it is recommended users use the default loss scale.

PiperOrigin-RevId: 368123944
      4334a892
  9. 12 Mar, 2021 1 commit
  11. 10 Mar, 2021 1 commit
  13. 21 Dec, 2020 1 commit
  15. 26 Oct, 2020 1 commit
  17. 23 Oct, 2020 1 commit
  19. 12 Aug, 2020 2 commits
  21. 24 Jul, 2020 2 commits
  23. 16 Jul, 2020 2 commits
  25. 10 Jun, 2020 1 commit
  27. 03 Jun, 2020 1 commit
  29. 13 May, 2020 1 commit
    • Scott Zhu's avatar
      Restructure the Keras class hierarchy for Network, Model and Sequential. · d08af90d
      Scott Zhu authored 
      The intention of this change is to reduce the code complexity within Keras class, especially for Network, which currently contains logic for both subclass Model and functional Model.

After this change, the subclass model and functional model become individual class and become self contained.

1. Model is now the base class for subclass model. It doesn't contains network structure management, and the topology will be created within __init__ and __call__, which is for user to implement. It also contains compile/fit/eval/predict, which is the basic functionality for model training.

2. Functional is created based on existing Network class. It extends the Model, which allows it leverage compile/fit/eval/predict. In addition, it also take input/output as init parameter and manage the network topology.

3. Sequential model is now a subclass of Functional, since it will use Functional's method to manage it topology (layer stacking).

Model(input, output) will create a Functional under the hood, and behave the same way as before.

PiperOrigin-RevId: 311232972
      d08af90d
  31. 03 Mar, 2020 1 commit
  33. 11 Nov, 2019 1 commit
    • Hongkun Yu's avatar
      Release keras bert: · f1d35b4e
      Hongkun Yu authored 
      - Update classifier example.
- Add new converted checkpoints.
- Update benchmark,

PiperOrigin-RevId: 279762797
      f1d35b4e