message: Added more usage examples
  Added usage examples to these APIs aswell:
  image.transpose
  image.random_brightness
  image.random_contrast
  image.random_hue
  image.random_jpeg_quality
  image.random_saturation
diff: @@ -668,6 +668,13 @@ def transpose(image, name=None):
  Raises:
  ValueError: if the shape of `image` not supported.
  +
  + Usage Example:
  + ```python
  + >> import tensorflow as tf
  + >> x = tf.random.normal(shape=(256, 256, 3))
  + >> tf.image.transpose(x)
  + ```
  """
  with ops.name_scope(name, 'transpose', [image]):
  image = ops.convert_to_tensor(image, name='image')
  @@ -1604,6 +1611,13 @@ def random_brightness(image, max_delta, seed=None):
  Raises:
  ValueError: if `max_delta` is negative.
  +
  + Usage Example:
  + ```python
  + >> import tensorflow as tf
  + >> x = tf.random.normal(shape=(256, 256, 3))
  + >> tf.image.random_brightness(x, 0.2)
  + ```
  """
  if max_delta < 0:
  raise ValueError('max_delta must be non-negative.')
  @@ -1631,6 +1645,13 @@ def random_contrast(image, lower, upper, seed=None):
  Raises:
  ValueError: if `upper <= lower` or if `lower < 0`.
  +
  + Usage Example:
  + ```python
  + >> import tensorflow as tf
  + >> x = tf.random.normal(shape=(256, 256, 3))
  + >> tf.image.random_contrast(x, 0.2, 0.5)
  + ```
  """
  if upper <= lower:
  raise ValueError('upper must be > lower.')
  @@ -1986,6 +2007,13 @@ def random_hue(image, max_delta, seed=None):
  Raises:
  ValueError: if `max_delta` is invalid.
  +
  + Usage Example:
  + ```python
  + >> import tensorflow as tf
  + >> x = tf.random.normal(shape=(256, 256, 3))
  + >> tf.image.random_hue(x, 0.2)
  + ```
  """
  if max_delta > 0.5:
  raise ValueError('max_delta must be <= 0.5.')
  @@ -2065,6 +2093,13 @@ def random_jpeg_quality(image, min_jpeg_quality, max_jpeg_quality, seed=None):
  Raises:
  ValueError: if `min_jpeg_quality` or `max_jpeg_quality` is invalid.
  +
  + Usage Example:
  + ```python
  + >> import tensorflow as tf
  + >> x = tf.random.normal(shape=(256, 256, 3))
  + >> tf.image.random_jpeg_quality(x, 75, 95)
  + ```
  """
  if (min_jpeg_quality < 0 or max_jpeg_quality < 0 or min_jpeg_quality > 100 or
  max_jpeg_quality > 100):
  @@ -2145,6 +2180,13 @@ def random_saturation(image, lower, upper, seed=None):
  Raises:
  ValueError: if `upper <= lower` or if `lower < 0`.
  +
  + Usage Example:
  + ```python
  + >> import tensorflow as tf
  + >> x = tf.random.normal(shape=(256, 256, 3))
  + >> tf.image.random_saturation(x, 5, 10)
  + ```
  """
  if upper <= lower:
  raise ValueError('upper must be > lower.')
  