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| author |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-08-23 11:57:50 -0700 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-08-23 11:57:50 -0700 |
| commit | 15113cd567f630cd8806deeb82e608357ebed8c3 (patch) | |
| tree | 13239c08934c5cf0eaf11daf0c67b9ec31ef56a2 /tensorflow/docs_src | |
| parent | d232dee9f9efab16608e0f08ab82c1f51aff78a0 (diff) | |
| parent | 0c5683c50b2f4afc124ac7c4b61e316b4130b97d (diff) | |
Merge pull request #21753 from ageron:add_average_loss_and_loss_doc
PiperOrigin-RevId: 209974388
Diffstat (limited to 'tensorflow/docs_src')
| -rw-r--r-- | tensorflow/docs_src/guide/premade_estimators.md | 2 |
1 files changed, 2 insertions, 0 deletions
diff --git a/tensorflow/docs_src/guide/premade_estimators.md b/tensorflow/docs_src/guide/premade_estimators.md index a1703058c3..9b64d51b98 100644 --- a/tensorflow/docs_src/guide/premade_estimators.md +++ b/tensorflow/docs_src/guide/premade_estimators.md @@ -366,6 +366,8 @@ Running this code yields the following output (or something similar): Test set accuracy: 0.967 ``` +The `eval_result` dictionary also contains the `average_loss` (mean loss per sample), the `loss` (mean loss per mini-batch) and the value of the estimator's `global_step` (the number of training iterations it underwent). + ### Making predictions (inferring) from the trained model We now have a trained model that produces good evaluation results. |