message: modifications made to the relu activation docstring
diff: @@ -195,14 +195,21 @@ def relu(x, alpha=0., max_value=None, threshold=0):
  `f(x) = x` for `threshold <= x < max_value`,
  `f(x) = alpha * (x - threshold)` otherwise.
  + For example:
  +
  + >>> foo = tf.constant([-10, -5, 0.0, 5, 10], dtype = tf.float32)
  + >>> foo2 = tf.keras.activations.relu(foo)
  + >>> foo2.numpy() # -> array([ 0., 0., 0., 5., 10.], dtype=float32)
  +
  Arguments:
  - x: A tensor or variable.
  + x: Input tensor.
  alpha: A scalar, slope of negative section (default=`0.`).
  - max_value: float. Saturation threshold.
  - threshold: float. Threshold value for thresholded activation.
  + max_value: A float. Saturation threshold.
  + threshold: A float. Threshold value for thresholded activation.
  Returns:
  - A tensor.
  + Tensor with the relu activation.
  + Tensor will be of the same shape and dtype of the input `x`.
  """
  return K.relu(x, alpha=alpha, max_value=max_value, threshold=threshold)
  