old_contents: track = dict(
      author_username='ryanholbrook',
      course_name='Computer Vision',
      course_url='https://www.kaggle.com/ryanholbrook/computer-vision',
      course_forum_url='https://www.kaggle.com/learn-forum',
  )
  
  TOPICS = [
      'The Convolutional Classifier',
      'Convolution and ReLU',
      'Maximum Pooling',
      'The Moving Window',
      'Custom Convnets',
      'Data Augmentation',
  ]
  
  
  lessons = [{'topic': topic_name} for topic_name in TOPICS]
  
  
  notebooks = []
  
  for i, _ in enumerate(TOPICS):
      notebooks += [
          dict(
              filename="tut{}.ipynb".format(i+1),
              lesson_idx=i,
              type='tutorial',
              enable_gpu=True,
          ),
      ]
  
  notebooks += [
      dict(
          filename="ex1.ipynb",
          lesson_idx=0,
          type='exercise',
          enable_gpu=True,
      ),
      dict(
          filename="ex2.ipynb",
          lesson_idx=1,
          type='exercise',
      ),
      dict(
          filename="ex3.ipynb",
          lesson_idx=2,
          type='exercise',
      ),
      dict(
          filename="ex4.ipynb",
          lesson_idx=3,
          type='exercise',
      ),
      dict(
          filename="ex5.ipynb",
          lesson_idx=4,
          type='exercise',
          enable_gpu=True,
      ),
      dict(
          filename="ex6.ipynb",
          lesson_idx=5,
          type='exercise',
          enable_gpu=True,
      ),    
  ]
  
  for nb in notebooks:
      nb['dataset_sources'] = [
          'ryanholbrook/car-or-truck',
          'ryanholbrook/computer-vision-resources',
          'ryanholbrook/cv-course-models',
      ]
   
  # Add extra datasets to Exercise 6
  notebooks[-1]['dataset_sources'] += [
      'ryanholbrook/tensorflow-flowers',    
      'ryanholbrook/eurosat',
  ]
  
new_contents: track = dict(
      author_username='ryanholbrook',
      course_name='Computer Vision',
      course_url='https://www.kaggle.com/ryanholbrook/computer-vision',
      course_forum_url='https://www.kaggle.com/learn-forum',
  )
  
  TOPICS = [
      'The Convolutional Classifier',
      'Convolution and ReLU',
      'Maximum Pooling',
      'The Moving Window',
      'Custom Convnets',
      'Data Augmentation',
  ]
  
  
  lessons = [{'topic': topic_name} for topic_name in TOPICS]
  
  
  notebooks = []
  notebooks += [
      dict(
          filename="tut1.ipynb",
          lesson_idx=0,
          type='tutorial',
          enable_gpu=True,
      ),
      dict(
          filename="tut2.ipynb",
          lesson_idx=1,
          type='tutorial',
      ),
      dict(
          filename="tut3.ipynb",
          lesson_idx=2,
          type='tutorial',
      ),
      dict(
          filename="tut4.ipynb",
          lesson_idx=3,
          type='tutorial',
      ),
      dict(
          filename="tut5.ipynb",
          lesson_idx=4,
          type='tutorial',
          enable_gpu=True,
      ),
      dict(
          filename="tut6.ipynb",
          lesson_idx=5,
          type='tutorial',
          enable_gpu=True,
      ),    
  ]
  
  notebooks += [
      dict(
          filename="ex1.ipynb",
          lesson_idx=0,
          type='exercise',
          enable_gpu=True,
      ),
      dict(
          filename="ex2.ipynb",
          lesson_idx=1,
          type='exercise',
      ),
      dict(
          filename="ex3.ipynb",
          lesson_idx=2,
          type='exercise',
      ),
      dict(
          filename="ex4.ipynb",
          lesson_idx=3,
          type='exercise',
      ),
      dict(
          filename="ex5.ipynb",
          lesson_idx=4,
          type='exercise',
          enable_gpu=True,
      ),
      dict(
          filename="ex6.ipynb",
          lesson_idx=5,
          type='exercise',
          enable_gpu=True,
      ),    
  ]
  
  for nb in notebooks:
      nb['dataset_sources'] = [
          'ryanholbrook/car-or-truck',
          'ryanholbrook/computer-vision-resources',
          'ryanholbrook/cv-course-models',
      ]
   
  # Add extra datasets to Exercise 6
  notebooks[-1]['dataset_sources'] += [
      'ryanholbrook/tensorflow-flowers',    
      'ryanholbrook/eurosat',
  ]
  
subject: Update gpu notebooks in track_meta