From 7df8b6409100de8364721420958f424ff7a3e0ec Mon Sep 17 00:00:00 2001 From: Dan Moldovan Date: Mon, 30 Apr 2018 11:04:23 -0400 Subject: [PATCH] autograph: Update README (#18981) * Update README.md --- tensorflow/contrib/autograph/README.md | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/tensorflow/contrib/autograph/README.md b/tensorflow/contrib/autograph/README.md index 0fcbf5d..0ba99c3 100644 --- a/tensorflow/contrib/autograph/README.md +++ b/tensorflow/contrib/autograph/README.md @@ -56,8 +56,6 @@ Use AutoGraph in one of the following ways, described below: 1. Annotations (simpler) 2. Functional API (more flexible) -NOTE: You can find more examples in this [interactive notebook](https://colab.research.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/contrib/autograph/examples/notebooks/dev_summit_2018_demo.ipynb). - To get started, install the latest nightly TensorFlow build: ```shell @@ -70,6 +68,13 @@ Then import the `autograph` module from `tf.contrib`: from tensorflow.contrib import autograph as ag ``` +### Interactive demo notebooks + +For more extensive examples, check out these interactive notebooks: + + * [RNN trained using Keras and Estimators](https://colab.sandbox.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/contrib/autograph/examples/notebooks/rnn_keras_estimator.ipynb) + * [Demo from the TF Dev Summit 2018](https://colab.research.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/contrib/autograph/examples/notebooks/dev_summit_2018_demo.ipynb) + ## Using with annotations Annotating a function or class with `@convert` converts it in place: -- 2.7.4