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Diffstat (limited to 'tensorflow/docs_src/get_started/checkpoints.md')
| -rw-r--r-- | tensorflow/docs_src/get_started/checkpoints.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/docs_src/get_started/checkpoints.md b/tensorflow/docs_src/get_started/checkpoints.md index dfa2110e69..4aa07c7f2a 100644 --- a/tensorflow/docs_src/get_started/checkpoints.md +++ b/tensorflow/docs_src/get_started/checkpoints.md @@ -154,7 +154,7 @@ classifier = tf.estimator.DNNClassifier( The first time you call an Estimator's `train` method, TensorFlow saves a checkpoint to the `model_dir`. Each subsequent call to the Estimator's -`train`, `eval`, or `predict` method causes the following: +`train`, `evaluate`, or `predict` method causes the following: 1. The Estimator builds the model's [graph](https://developers.google.com/machine-learning/glossary/#graph) @@ -222,7 +222,7 @@ does not match the shape stored in checkpoint: [20] To run experiments in which you train and compare slightly different versions of a model, save a copy of the code that created each -`model-dir`, possibly by creating a separate git branch for each version. +`model_dir`, possibly by creating a separate git branch for each version. This separation will keep your checkpoints recoverable. ## Summary |