message: Attempt to make sense of reasoning for loss
  I feel the document seems a bit weird. Adding "when" seems to make better sense of it. Open to suggestions on alternatives.
  Thanks
diff: @@ -362,7 +362,7 @@ model's loss. This is the
  that will be optimized.
  We can calculate the loss by calling @{tf.losses.sparse_softmax_cross_entropy}.
  -The value returned by this function will be lowest, approximately 0,
  +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.
  