| commit | cc93f3ca1c13e78c4ea905abc2c6a5870773ca73 | [log] [tgz] |
|---|---|---|
| author | A. Unique TensorFlower <gardener@tensorflow.org> | Fri Oct 04 14:29:42 2019 -0700 |
| committer | TensorFlower Gardener <gardener@tensorflow.org> | Fri Oct 04 22:56:21 2019 -0700 |
| tree | 26088eb48a6e9bb2b6d870dccfd7773b285e3e7d | |
| parent | 135a29c383c0629322bd3511cb7216e6ee1cb479 [diff] |
PR #32847: Add a unit test for training and validation callbacks Imported from GitHub PR #32847 The test is to check that the progress bar shown Keras during the training process is working properly when training and validating with inputs of unknown sizes. Copybara import of the project: - 391206709057bedcadb511e305012de801c5992d Add a unit test for training and validation callbacks by Ivan Ukhov <ivan.ukhov@gmail.com> - 2f4d26ba6a99a04c974b83a572430d5684759f05 Merge 391206709057bedcadb511e305012de801c5992d into 18f70... by Ivan Ukhov <ivan.ukhov@gmail.com> COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/32847 from IvanUkhov:shared-callbacks 391206709057bedcadb511e305012de801c5992d PiperOrigin-RevId: 272958417
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TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
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