What should you do?
Your data science team is training a PyTorch model for image classification based on a pre-trained
RestNet model. You need to perform hyperparameter tuning to optimize for several parameters.
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 Kuberflow 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.
Answer: C
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