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Your data science team is training a PyTorch model for image classification based on a pre-trained ResNet model. As part of the model optimization process, you are required to perform hyperparameter tuning to enhance the model's performance. Considering the existing tools and frameworks available on Google Cloud Platform, what should you do?
A
Convert the model to a Keras model, and run a Keras Tuner job.
B
Run a hyperparameter tuning job on AI Platform using custom containers.
C
Create a Kubeflow Pipelines instance, and run a hyperparameter tuning job on Katib.
D
Convert the model to a TensorFlow model, and run a hyperparameter tuning job on AI Platform.