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Diffstat (limited to 'tensorflow/g3doc/tutorials/wide/index.md')
-rw-r--r-- | tensorflow/g3doc/tutorials/wide/index.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/g3doc/tutorials/wide/index.md b/tensorflow/g3doc/tutorials/wide/index.md index b8807fa44f..d30ad11374 100644 --- a/tensorflow/g3doc/tutorials/wide/index.md +++ b/tensorflow/g3doc/tutorials/wide/index.md @@ -173,7 +173,7 @@ construct an [Input Reader](https://www.tensorflow.org/versions/r0.9/api_docs/py that represents a file or other data source, and iterates through the file as TensorFlow runs the graph. Each continuous column in the train or test dataframe will be converted into a `Tensor`, which in general is a good format to -represent dense data. For cateogorical data, we must represent the data as a +represent dense data. For categorical data, we must represent the data as a `SparseTensor`. This data format is good for representing sparse data. ```python |