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@@ -10,15 +10,18 @@ course prior to diving into TensorFlow documentation:
TensorFlow is a tool for machine learning. While it contains a wide range of
functionality, TensorFlow is mainly designed for deep neural network models.
-TensorFlow provides many APIs. This section focuses on the high-level APIs.
-If you are new to TensorFlow, begin by reading one of the following documents:
-
- * @{$get_started/eager} is for machine learning beginners and uses
- @{$programmers_guide/eager}.
- * @{$get_started/get_started_for_beginners} is also for machine learning
- beginners and uses @{$programmers_guide/graphs}.
- * @{$get_started/premade_estimators} assumes some machine learning background
- and uses an @{tf.estimator.Estimator$Estimator}.
+The easiest way to get started with tensorflow is using Eager Execution.
+
+ * @{$get_started/eager}, is for anyone new to machine learning or TensorFlow.
+
+TensorFlow provides many APIs. The remainder of this section focuses on the
+Estimator API which provide scalable, high-performance models.
+To get started with Estimators begin by reading one of the following documents:
+
+ * @{$get_started/get_started_for_beginners}, which is aimed at readers
+ new to machine learning.
+ * @{$get_started/premade_estimators}, which is aimed at readers who have
+ experience in machine learning.
Then, read the following documents, which demonstrate the key features
in the high-level APIs: