diff options
| author |  Asim Shankar <ashankar@google.com> | 2017-04-11 14:11:34 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2017-04-11 15:27:46 -0700 |
| commit | 846a6222e622818286934954347a14c807a11c88 (patch) | |
| tree | 8fbbc43373cfe97535dc288140b314f3b5204de9 /tensorflow/docs_src/tutorials/wide.md | |
| parent | 43acf393020106400b7fc123d76aadea62a939dd (diff) | |
Docs: Tutorial formatting and links fix
Fixes #9092
(When accompanied by changes to the www.tensorflow.org/code redirects to point
to the appropriate release branch on github)
Change: 152866886
Diffstat (limited to 'tensorflow/docs_src/tutorials/wide.md')
| -rw-r--r-- | tensorflow/docs_src/tutorials/wide.md | 5 |
1 files changed, 2 insertions, 3 deletions
diff --git a/tensorflow/docs_src/tutorials/wide.md b/tensorflow/docs_src/tutorials/wide.md index 1b72ba0746..e530e6e1ac 100644 --- a/tensorflow/docs_src/tutorials/wide.md +++ b/tensorflow/docs_src/tutorials/wide.md @@ -14,8 +14,7 @@ To try the code for this tutorial: 1. @{$install$Install TensorFlow} if you haven't already. -2. Download [the tutorial code]( -https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/learn/wide_n_deep_tutorial.py). +2. Download [the tutorial code](https://www.tensorflow.org/code/tensorflow/examples/learn/wide_n_deep_tutorial.py). 3. Install the pandas data analysis library. tf.learn doesn't require pandas, but it does support it, and this tutorial uses pandas. To install pandas: 1. Get `pip`: @@ -387,7 +386,7 @@ which means the accuracy is 83.6%. Feel free to try more features and transformations and see if you can do even better! If you'd like to see a working end-to-end example, you can download our -[example code](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/learn/wide_n_deep_tutorial.py) +[example code](https://www.tensorflow.org/code/tensorflow/examples/learn/wide_n_deep_tutorial.py). and set the `model_type` flag to `wide`. ## Adding Regularization to Prevent Overfitting |