code: def create_vgg16(input_shape: tuple, num_classes: int):
      model = tf.keras.applications.vgg16.VGG16(
          include_top=True,
          weights=None,
          input_shape=input_shape,
          classes=num_classes,
          classifier_activation="sigmoid",
      )
      return model
  
imports: import logging
  import os
  from typing import Optional
  import numpy
  from golem.utilities.requirements_notificator import warn_requirement
  from fedot.core.operations.operation_parameters import OperationParameters
  from fedot.core.data.data import InputData, OutputData
  from golem.core.log import LoggerAdapter, default_log
  from fedot.core.operations.evaluation.operation_implementations.implementation_interfaces import ModelImplementation
  from sklearn import preprocessing
label_desc: Use image node_id 4 for calling a global function with example usage: create_vgg16(input_shape, num_classes) and returns: model