code: def resnet34(num_classes=1000, include_top=True):
      block = BasicBlock
      block_num = [3, 4, 6, 3]
      return ResNet(block, block_num, num_classes, include_top)
  
file_path: deep-learning-for-image-processing/tensorflow_classification/Test5_resnet/subclassed_model.py
imports: from tensorflow.keras import layers, Model, Sequential
label_desc: Use image node_id 1 for calling a global function with example usage: resnet34(num_classes, include_top) and returns: ResNet