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Diffstat (limited to 'tensorflow/docs_src/guide/checkpoints.md')
-rw-r--r-- | tensorflow/docs_src/guide/checkpoints.md | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/docs_src/guide/checkpoints.md b/tensorflow/docs_src/guide/checkpoints.md index e1add29852..3c92cbbd40 100644 --- a/tensorflow/docs_src/guide/checkpoints.md +++ b/tensorflow/docs_src/guide/checkpoints.md @@ -9,13 +9,13 @@ Estimators. TensorFlow provides two model formats: the model. This document focuses on checkpoints. For details on `SavedModel`, see the -@{$saved_model$Saving and Restoring} guide. +[Saving and Restoring](../guide/saved_model.md) guide. ## Sample code This document relies on the same -[Iris classification example](https://github.com/tensorflow/models/blob/master/samples/core/get_started/premade_estimator.py) detailed in @{$premade_estimators$Getting Started with TensorFlow}. +[Iris classification example](https://github.com/tensorflow/models/blob/master/samples/core/get_started/premade_estimator.py) detailed in [Getting Started with TensorFlow](../guide/premade_estimators.md). To download and access the example, invoke the following two commands: ```shell @@ -160,7 +160,7 @@ checkpoint to the `model_dir`. Each subsequent call to the Estimator's 1. The Estimator builds the model's [graph](https://developers.google.com/machine-learning/glossary/#graph) by running the `model_fn()`. (For details on the `model_fn()`, see - @{$custom_estimators$Creating Custom Estimators.}) + [Creating Custom Estimators.](../guide/custom_estimators.md)) 2. The Estimator initializes the weights of the new model from the data stored in the most recent checkpoint. @@ -231,7 +231,7 @@ This separation will keep your checkpoints recoverable. Checkpoints provide an easy automatic mechanism for saving and restoring models created by Estimators. -See the @{$saved_model$Saving and Restoring} guide for details about: +See the [Saving and Restoring](../guide/saved_model.md) guide for details about: * Saving and restoring models using low-level TensorFlow APIs. * Exporting and importing models in the SavedModel format, which is a |