message: Add suggested fix.
diff: @@ -362,10 +362,10 @@ model's loss. This is the
  that will be optimized.
  We can calculate the loss by calling @{tf.losses.sparse_softmax_cross_entropy}.
  -When the value returned by this function will be lowest, approximately 0,
  -probability of the correct class (at index `label`) is near 1.0. The loss value
  -returned is progressively larger as the probability of the correct class
  -decreases.
  +The value returned by this function will be approximately 0 at lowest,
  +when the probability of the correct class (at index label') is near 1.0.
  +The loss value returned is progressively larger as the probability of the
  +correct class decreases.
  This function returns the average over the whole batch.
  