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Diffstat (limited to 'tensorflow/docs_src/guide/datasets_for_estimators.md')
| -rw-r--r-- | tensorflow/docs_src/guide/datasets_for_estimators.md | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/docs_src/guide/datasets_for_estimators.md b/tensorflow/docs_src/guide/datasets_for_estimators.md index b04af78cd8..b55a5731a4 100644 --- a/tensorflow/docs_src/guide/datasets_for_estimators.md +++ b/tensorflow/docs_src/guide/datasets_for_estimators.md @@ -76,9 +76,9 @@ Let's walk through the `train_input_fn()`. The function starts by using the @{tf.data.Dataset.from_tensor_slices} function to create a @{tf.data.Dataset} representing slices of the array. The array is sliced across the first dimension. For example, an array containing the -@{$tutorials/layers$mnist training data} has a shape of `(60000, 28, 28)`. -Passing this to `from_tensor_slices` returns a `Dataset` object containing -60000 slices, each one a 28x28 image. +MNIST training data has a shape of `(60000, 28, 28)`. Passing this to +`from_tensor_slices` returns a `Dataset` object containing 60000 slices, each one +a 28x28 image. The code that returns this `Dataset` is as follows: |