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Fix 2 typos in documents #19177

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May 9, 2018
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2 changes: 1 addition & 1 deletion tensorflow/docs_src/programmers_guide/variables.md
Original file line number Diff line number Diff line change
Expand Up @@ -237,7 +237,7 @@ TensorFlow supports two ways of sharing variables:
While code which explicitly passes variables around is very clear, it is
sometimes convenient to write TensorFlow functions that implicitly use
variables in their implementations. Most of the functional layers from
`tf.layer` use this approach, as well as all `tf.metrics`, and a few other
`tf.layers` use this approach, as well as all `tf.metrics`, and a few other
library utilities.

Variable scopes allow you to control variable reuse when calling functions which
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1 change: 0 additions & 1 deletion tensorflow/docs_src/tutorials/layers.md
Original file line number Diff line number Diff line change
Expand Up @@ -209,7 +209,6 @@ for two-dimensional image data expect input tensors to have a shape of
* _`channels`_. Number of color channels in the example images. For color
images, the number of channels is 3 (red, green, blue). For monochrome
images, there is just 1 channel (black).
* _`image_height`_. Height of the example images.
* _`data_format`_. A string, one of `channels_last` (default) or `channels_first`.
`channels_last` corresponds to inputs with shape
`(batch, ..., channels)` while `channels_first` corresponds to
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