message: docs: add examples for random_uniform, random_normal and random_binomial in tf.keras.backend
  closes
diff: @@ -5653,6 +5653,13 @@ def random_normal(shape, mean=0.0, stddev=1.0, dtype=None, seed=None):
  Returns:
  A tensor with normal distribution of values.
  +
  + Example:
  +
  + >>> kvar = tf.keras.backend.random_normal((2,3), 0, 1)
  + >>> kvar
  + <tf.Tensor: shape=(2, 3), dtype=float32, numpy=...,
  + dtype=float32)>
  """
  if dtype is None:
  dtype = floatx()
  @@ -5677,6 +5684,13 @@ def random_uniform(shape, minval=0.0, maxval=1.0, dtype=None, seed=None):
  Returns:
  A tensor.
  +
  + Example:
  +
  + >>> kvar = tf.keras.backend.random_uniform((2,3), 0, 1)
  + >>> kvar
  + <tf.Tensor: shape=(2, 3), dtype=float32, numpy=...,
  + dtype=float32)>
  """
  if dtype is None:
  dtype = floatx()
  @@ -5702,6 +5716,13 @@ def random_binomial(shape, p=0.0, dtype=None, seed=None):
  Returns:
  A tensor.
  +
  + Example:
  +
  + >>> kvar = tf.keras.backend.random_binomial((2,3), 0.5)
  + >>> kvar
  + <tf.Tensor: shape=(2, 3), dtype=float32, numpy=...,
  + dtype=float32)>
  """
  if dtype is None:
  dtype = floatx()
  