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author | 2018-07-17 18:15:25 -0700 | |
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committer | 2018-07-17 18:15:32 -0700 | |
commit | 73727941ea0a10080208165ce3a9111952a9ffee (patch) | |
tree | fb02568f1ca070a93439e0aedccca5a713774f6e /tensorflow/docs_src | |
parent | 8238266c4fd433107f38eb126a5c5da05a4d338b (diff) | |
parent | 5601154e98e693d217b12808ddb60871772cea9c (diff) |
Merge pull request #20877 from pmkalshetti:patch-1
PiperOrigin-RevId: 205009225
Diffstat (limited to 'tensorflow/docs_src')
-rw-r--r-- | tensorflow/docs_src/tutorials/eager/index.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/docs_src/tutorials/eager/index.md b/tensorflow/docs_src/tutorials/eager/index.md index 5445e0c343..a13b396094 100644 --- a/tensorflow/docs_src/tutorials/eager/index.md +++ b/tensorflow/docs_src/tutorials/eager/index.md @@ -5,7 +5,7 @@ operations. Write custom layers, forward passes, and training loops with auto differentiation. Start with these notebooks, then read the [eager execution guide](../../guide/eager). -1. <span>[Eager execution](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/notebooks/eager_intro.ipynb){:.external}</span> +1. <span>[Eager execution](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/notebooks/eager_basics.ipynb){:.external}</span> 2. <span>[Automatic differentiation and gradient tape](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/notebooks/automatic_differentiation.ipynb){:.external}</span> 3. <span>[Custom training: basics](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/notebooks/custom_training.ipynb){:.external}</span> 4. <span>[Custom layers](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/notebooks/custom_layers.ipynb){:.external}</span> |