message: Update documentation for GlobalMaxPooling1D including an example.
diff: @@ -794,7 +794,26 @@ class GlobalAveragePooling1D(GlobalPooling1D):
  @keras_export('keras.layers.GlobalMaxPool1D', 'keras.layers.GlobalMaxPooling1D')
  class GlobalMaxPooling1D(GlobalPooling1D):
  - """Global max pooling operation for temporal data.
  + """Global max pooling operation for 1D temporal data.
  +
  + Downsamples the input representation by taking the maximum value over
  + the time dimension.
  +
  + For example:
  +
  + >>> x = tf.constant([[1., 2., 3.], [4., 5., 6.], [7., 8., 9.]])
  + >>> x = tf.reshape(x, [3, 3, 1])
  + >>> x
  + <tf.Tensor: shape=(3, 3, 1), dtype=float32, numpy=
  + array([[[1.], [2.], [3.]],
  + [[4.], [5.], [6.]],
  + [[7.], [8.], [9.]]], dtype=float32)>
  + >>> max_pool_1d = tf.keras.layers.GlobalMaxPooling1D()
  + >>> max_pool_1d(x)
  + <tf.Tensor: shape=(3, 1), dtype=float32, numpy=
  + array([[3.],
  + [6.],
  + [9.], dtype=float32)>
  Arguments:
  data_format: A string,
  