code: def __init__(self):
      super(Nested_VGG, self).__init__()
      self.vgg1 = VGG16(weights=None)
      # print([x.name for x in self.vgg1.weights])
      self.vgg2 = VGG16(weights=None)
      self.dense = Conv2D(
          64,
          (3, 3),
          activation="relu",
          padding="same",
          name="block1_conv1",
      )
  
file_path: TensorLayer/tests/models/test_keras_save.py
imports: import tensorflow
  from tensorflow.python.keras import Model
  from tensorflow.python.keras.applications import VGG16
  from tensorflow.python.keras.layers import Conv2D, Dense
  from tensorflow.python.training import saver
label_desc: Use image node_id 1 to create a new Nested_VGG object from inherited base classes: Model with example: obj = Nested_VGG()