eager: Update sample notebooks with API changes in the last few releases.

Most notably:
- Avoid using tf.contrib.eager since equivalent functionality if available outside tf.contrib
- Datasets can be directly iterated on.
- Use tf.GradientTape instead of tf.contrib.eager.implicit_gradients

PiperOrigin-RevId: 194971115

1 files changed, 1 insertions, 10 deletions

diff --git a/tensorflow/contrib/eager/README.md b/tensorflow/contrib/eager/README.md
index 9a3b780af8..762685db14 100644
--- a/tensorflow/contrib/eager/README.md
+++ b/tensorflow/contrib/eager/README.md
@@ -37,7 +37,7 @@ support for distributed and multi-GPU training and performance.
 
 ## Installation
 
-Eager execution is included in TensorFlow versions 1.7 and above.
+For eager execution, we recommend using TensorFlow version 1.8 or newer.
 Installation instructions at https://www.tensorflow.org/install/
 
 ## Documentation
@@ -48,12 +48,3 @@ For an introduction to eager execution in TensorFlow, see:
 - Notebook: [Basic Usage](python/examples/notebooks/1_basics.ipynb)
 - Notebook: [Gradients](python/examples/notebooks/2_gradients.ipynb)
 - Notebook: [Importing Data](python/examples/notebooks/3_datasets.ipynb)
-
-## Changelog
-
-- 2017/10/31: Initial preview release (in TensorFlow 1.5)
-- 2017/12/01: Example of dynamic neural network:
-  [SPINN: Stack-augmented Parser-Interpreter Neural Network](https://arxiv.org/abs/1603.06021).
-  See [README.md](python/examples/spinn/README.md) for details.
-- 2017/03: Core functionality moved out of the experimental tf.contrib namespace
-  in TensorFlow 1.7.