message: Updated the description of K.dot
diff: @@ -1817,6 +1817,8 @@ def moving_average_update(x, value, momentum):
  def dot(x, y):
  """Multiplies 2 tensors (and/or variables) and returns a tensor.
  + This operation corresponds to `numpy.dot(a, b, out=None)`.
  +
  Arguments:
  x: Tensor or variable.
  y: Tensor or variable.
  @@ -1826,6 +1828,7 @@ def dot(x, y):
  Examples:
  + If inputs `x` and `y` are 2-D arrays, then it is equivalent to `tf.matmul`.
  >>> x = tf.keras.backend.placeholder(shape=(2, 3))
  >>> y = tf.keras.backend.placeholder(shape=(3, 4))
  >>> xy = tf.keras.backend.dot(x, y)
  @@ -1838,6 +1841,8 @@ def dot(x, y):
  >>> xy
  <KerasTensor: shape=(32, 28, 4) dtype=float32 ...>
  + If `x` is an N-D array and `y` is an M-D array (where M>=2), it is a sum
  + product over the last axis of `x` and the second-to-last axis of `y`.
  >>> x = tf.keras.backend.random_uniform_variable(shape=(2, 3), low=0, high=1)
  >>> y = tf.keras.backend.ones((4, 3, 5))
  >>> xy = tf.keras.backend.dot(x, y)
  