message: Fix the inconsistency in the accepted shape/data_format of Input Tensor to Conv2D in documentation
diff: @@ -198,9 +198,9 @@ Classifier"](#training_and_evaluating_the_cnn_mnist_classifier).
  ### Input Layer
  The methods in the `layers` module for creating convolutional and pooling layers
  -for two-dimensional image data expect input tensors to have a shape of
  -<code>[<em>batch_size</em>, <em>image_width</em>, <em>image_height</em>,
  -<em>channels</em>]</code>, defined as follows:
  +for two-dimensional image data expect input tensors to have a `channels_last` shape of
  +<code>[<em>batch_size</em>, <em>image_height</em>, <em>image_width</em>, <em>channels</em>]</code>
  +or a `channels_first` shape of <code>[<em>batch_size</em>, <em>channels</em>, <em>image_height</em>, <em>image_width</em>]</code>, defined as follows:
  * _`batch_size`_. Size of the subset of examples to use when performing
  gradient descent during training.
  