input: from typing import List
  
  def classify_images(model_layers: List[str]) -> str:
      """ Determines if the model can correctly classify images of cats and dogs.
      >>> classify_images(['Conv2D', 'MaxPooling2D', 'Dropout', 'Conv2D', 'MaxPooling2D', 'Dropout', 'Conv2D', 'MaxPooling2D', 'Dropout', 'Flatten', 'Dense', 'Dense'])
      'correct classification'
      >>> classify_images(['Conv2D', 'MaxPooling2D', 'Flatten', 'Dense', 'Dense'])
      'incorrect classification'
      """
      
      correct_layers = ['Conv2D', 'MaxPooling2D', 'Dropout', 'Conv2D', 'MaxPooling2D', 'Dropout', 'Conv2D', 'MaxPooling2D', 'Dropout', 'Flatten', 'Dense', 'Dense']
      
      if model_layers == correct_layers:
          return 'correct classification'
      else:
          return 'incorrect classification'
output:     correct_layers = ['Conv2D', 'MaxPooling2D', 'Dropout', 'Conv2D', 'MaxPooling2D', 'Dropout', 'Conv2D', 'MaxPooling2D', 'Dropout', 'Flatten', 'Dense', 'Dense']
      
      if model_layers == correct_layers:
          return 'correct classification'
      else:
          return 'incorrect classification'