message: Close backticks to fix formatting.
  +fix example in RandomZoom
diff: @@ -885,9 +885,15 @@ class RandomZoom(base_layer.Layer):
  seed: Integer. Used to create a random seed.
  fill_value: a float represents the value to be filled outside the boundaries
  when `fill_mode` is "constant".
  - Example: >>> input_img = np.random.random((32, 224, 224, 3)) >>> layer =
  - tf.keras.layers.experimental.preprocessing.RandomZoom(.5, .2) >>> out_img =
  - layer(input_img) >>> out_img.shape TensorShape([32, 224, 224, 3])
  +
  + Example:
  +
  + >>> input_img = np.random.random((32, 224, 224, 3))
  + >>> layer = tf.keras.layers.experimental.preprocessing.RandomZoom(.5, .2)
  + >>> out_img = layer(input_img)
  + >>> out_img.shape
  + TensorShape([32, 224, 224, 3])
  +
  Input shape:
  4D tensor with shape: `(samples, height, width, channels)`,
  data_format='channels_last'.
  @@ -1219,7 +1225,7 @@ class RandomWidth(base_layer.Layer):
  lower bound. For instance, `factor=(0.2, 0.3)` results in an output with
  width changed by a random amount in the range `[20%, 30%]`. `factor=(-0.2,
  0.3)` results in an output with width changed by a random amount in the
  - range `[-20%, +30%]. `factor=0.2` results in an output with width changed
  + range `[-20%, +30%]`. `factor=0.2` results in an output with width changed
  by a random amount in the range `[-20%, +20%]`.
  interpolation: String, the interpolation method. Defaults to `bilinear`.
  Supports `bilinear`, `nearest`, `bicubic`, `area`, `lanczos3`, `lanczos5`,
  