code: def resnet50() -> Model:
      model = kapps.ResNet50(
          weights=WEIGHTS,
          # classifier_activation=ACTIVATION,
      )
      return model_wo_softmax(model)
  
file_path: innvestigate/tests/networks/imagenet.py
imports: from __future__ import annotations
  import tensorflow.keras.applications
  from innvestigate.backend.graph import model_wo_softmax
  from innvestigate.backend.types import Model
label_desc: Use image node_id 3 for calling a global function with example usage: resnet50() and returns: model_wo_softmax