code: def DenseNet169(
      include_top=True,
      weights="imagenet",
      input_tensor=None,
      input_shape=None,
      pooling=None,
      classes=1000,
      classifier_activation="softmax",
  ):
      """Instantiates the Densenet169 architecture."""
      return DenseNet(
          [6, 12, 32, 32],
          include_top,
          weights,
          input_tensor,
          input_shape,
          pooling,
          classes,
          classifier_activation,
      )
  
file_path: keras/keras/applications/densenet.py
imports: from keras import backend
  from keras import layers
  from keras.api_export import keras_export
  from keras.applications import imagenet_utils
  from keras.models import Functional
  from keras.ops import operation_utils
  from keras.utils import file_utils
label_desc: Use image node_id 6 for calling a global function with example usage: DenseNet169(include_top, weights, input_tensor, input_shape, pooling, classes, classifier_activation) and returns: DenseNet