class_docstr: Describes backbone information and provides utility functions.
      
class_docstr_tok: ["Describes","backbone","information","and","provides","utility","functions","."]
docstr: Checks whether the backbone string is correct.
          
docstr_tok: ["Checks","whether","the","backbone","string","is","correct","."]
code: def validate(self):
      """Checks whether the backbone string is correct."""
      allowed_backbones = [
          "seresnet18",
          "seresnet34",
          "seresnet50",
          "seresnet101",
          "seresnet152",
          "seresnext50",
          "seresnext101",
          "senet154",
      ]
      backbone = self.backbone.split("_")[0]
  
      if backbone not in allowed_backbones:
          raise ValueError(
              "Backbone ('{}') not in allowed backbones ({}).".format(
                  backbone, allowed_backbones
              )
          )
  
imports: from tensorflow import keras
  from .None import retinanet
  from .None import Backbone
  from classification_models.keras import Classifiers
label_desc: Use image node_id 4 for calling the SeBackbone obj's underlying member method code with example usage: obj.validate() without return types