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@@ -9,14 +9,13 @@ works. The units are as follows:
training deep learning models.
* @{$guide/eager}, an API for writing TensorFlow code
imperatively, like you would use Numpy.
- * @{$guide/estimators}, a high-level API that provides
- fully-packaged models ready for large-scale training and production.
* @{$guide/datasets}, easy input pipelines to bring your data into
your TensorFlow program.
+ * @{$guide/estimators}, a high-level API that provides
+ fully-packaged models ready for large-scale training and production.
## Estimators
-* @{$estimators}, learn how to use Estimators for machine learning.
* @{$premade_estimators}, the basics of premade Estimators.
* @{$checkpoints}, save training progress and resume where you left off.
* @{$feature_columns}, handle a variety of input data types without changes to the model.