message: Update docsting for keras.layers.LeakyReLU.
diff: @@ -34,19 +34,30 @@ class LeakyReLU(Layer):
  """Leaky version of a Rectified Linear Unit.
  It allows a small gradient when the unit is not active:
  - `f(x) = alpha * x for x < 0`,
  - `f(x) = x for x >= 0`.
  + $$f(x) = alpha * x if x < 0$$
  + $$f(x) = x if x >= 0$$
  +
  + Usage:
  +
  + >>> layer = tf.keras.layers.LeakyReLU()
  + >>> output = layer([-3.0, -1.0, 0.0, 2.0])
  + >>> list(output.numpy())
  + [-0.9, -0.3, 0.0, 2.0]
  + >>> layer = tf.keras.layers.LeakyReLU(alpha=0.1)
  + >>> output = layer([-3.0, -1.0, 0.0, 2.0])
  + >>> list(output.numpy())
  + [-0.3, -0.1, 0.0, 2.0]
  Input shape:
  Arbitrary. Use the keyword argument `input_shape`
  - (tuple of integers, does not include the samples axis)
  + (tuple of integers, does not include the batch axis)
  when using this layer as the first layer in a model.
  Output shape:
  Same shape as the input.
  Arguments:
  - alpha: Float >= 0. Negative slope coefficient.
  + alpha: Float >= 0. Negative slope coefficient. Default to 0.3.
  """
  