[doc] Update reference to NDManager.invoke()

Change-Id: Ia5bcd5e2729d0fbe5bec6b3d7c8a78ef99b8db86
tosterberg · Jul 15, 2020 · a35702d · a35702d
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diff --git a/mxnet/mxnet-engine/README.md b/mxnet/mxnet-engine/README.md
@@ -4,7 +4,10 @@
 
 This module contains the MXNet implementation of the Deep Java Library (DJL) EngineProvider.
 
-We don't recommend that developers use classes in this module directly. Use of these classes will couple your code with MXNet and make switching between engines difficult. Even so, developers are not restricted from using engine-specific features. For more information, see [NDManager#invoke()](https://javadoc.io/static/ai.djl/api/0.6.0/ai/djl/ndarray/NDManager.html#invoke-java.lang.String-ai.djl.ndarray.NDList-ai.djl.ndarray.NDList-ai.djl.util.PairList-).
+We don't recommend that developers use classes in this module directly. Use of these classes
+will couple your code with MXNet and make switching between engines difficult. Even so,
+developers are not restricted from using engine-specific features. For more information,
+see [NDManager#invoke()](https://javadoc.io/static/ai.djl/api/0.6.0/ai/djl/ndarray/NDManager.html#invoke-java.lang.String-ai.djl.ndarray.NDArray:A-ai.djl.ndarray.NDArray:A-ai.djl.util.PairList-).
 
 ## Documentation
 

diff --git a/pytorch/pytorch-engine/README.md b/pytorch/pytorch-engine/README.md
@@ -5,8 +5,6 @@ This module contains the PyTorch implementation of the Deep Java Library (DJL) E
 
 We don't recommend that developers use classes in this module directly.
 Use of these classes will couple your code with PyTorch and make switching between frameworks difficult.
-Even so, developers are not restricted from using engine-specific features.
-For more information, see [NDManager#invoke()](https://javadoc.io/static/ai.djl/api/0.6.0/ai/djl/ndarray/NDManager.html#invoke-java.lang.String-ai.djl.ndarray.NDList-ai.djl.ndarray.NDList-ai.djl.util.PairList-).
 
 ## Documentation
 

diff --git a/tensorflow/tensorflow-engine/README.md b/tensorflow/tensorflow-engine/README.md
@@ -1,12 +1,13 @@
-# DJL - Tensorflow engine implementation
+# DJL - TensorFlow engine implementation
 
 ## Overview
 
-This module contains the Tensorflow implementation of the Deep Java Library (DJL) EngineProvider.
+This module contains the TensorFlow implementation of the Deep Java Library (DJL) EngineProvider.
 
-We don't recommend that developers use classes in this module directly. Use of these classes will couple your code with TensorFlow and make switching between frameworks difficult. Even so, developers are not restricted from using engine-specific features. For more information, see [NDManager#invoke()](https://javadoc.io/static/ai.djl/api/0.6.0/ai/djl/ndarray/NDManager.html#invoke-java.lang.String-ai.djl.ndarray.NDList-ai.djl.ndarray.NDList-ai.djl.util.PairList-).
+We don't recommend that developers use classes in this module directly. Use of these classes will
+couple your code with TensorFlow and make switching between frameworks difficult.
 
-**Currently Windows platform and training is not supported.**
+**Currently training is not supported.**
 
 ## Documentation