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Diffstat (limited to 'tensorflow/contrib/learn/python/learn/README.md')
| -rw-r--r-- | tensorflow/contrib/learn/python/learn/README.md | 11 |
1 files changed, 5 insertions, 6 deletions
diff --git a/tensorflow/contrib/learn/python/learn/README.md b/tensorflow/contrib/learn/python/learn/README.md index 6afcfbf376..c7e0dc816e 100644 --- a/tensorflow/contrib/learn/python/learn/README.md +++ b/tensorflow/contrib/learn/python/learn/README.md @@ -34,7 +34,7 @@ Optionally you can install [scikit-learn](http://scikit-learn.org/stable/) and [ ### Usage -Below are a few simple examples of the API. For more examples, please see [examples](https://www.tensorflow.org/code/tensorflow/examples/skflow). +Below are a few simple examples of the API. For more examples, please see [examples](https://www.tensorflow.org/code/tensorflow/examples/learn). General tips: @@ -210,10 +210,9 @@ and then load the reported URL. ## More examples -See the [examples folder](https://www.tensorflow.org/code/tensorflow/examples/skflow) for: +See the [examples folder](https://www.tensorflow.org/code/tensorflow/examples/learn) for: -- An easy way to handle [categorical variables](https://www.tensorflow.org/code/tensorflow/examples/skflow/text_classification.py) (words are just an example of a categorical variable) -- Text Classification: see examples for [RNN](https://www.tensorflow.org/code/tensorflow/examples/skflow/text_classification_character_rnn.py) and [CNN](https://www.tensorflow.org/code/tensorflow/examples/skflow/text_classification_character_cnn.py) on characters -- [Language modeling and text sequence to sequence](https://www.tensorflow.org/code/tensorflow/examples/skflow/language_model.py) -- [Digit recognition using a CNN](https://www.tensorflow.org/code/tensorflow/examples/skflow/digits.py) +- An easy way to handle [categorical variables](https://www.tensorflow.org/code/tensorflow/examples/learn/text_classification.py) (words are just an example of a categorical variable) +- Text Classification: see examples for [RNN](https://www.tensorflow.org/code/tensorflow/examples/learn/text_classification_character_rnn.py) and [CNN](https://www.tensorflow.org/code/tensorflow/examples/learn/text_classification_character_cnn.py) on characters +- [Digit recognition using a CNN](https://www.tensorflow.org/code/tensorflow/examples/learn/mnist.py) - And much more! |