Google Professional Machine Learning Engineer
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You have developed a Keras module for a regression model with two architectures: linear regression and a DNN. The training_method argument selects the architecture, while learning_rate and num_hidden_layers are used for the DNN. You plan to use Vertex AI hyperparameter tuning with a budget of 100 trials to find the architecture and hyperparameters that minimize training loss and maximize model performance. What should you do?
You have developed a Keras module for a regression model with two architectures: linear regression and a DNN. The training_method argument selects the architecture, while learning_rate and num_hidden_layers are used for the DNN. You plan to use Vertex AI hyperparameter tuning with a budget of 100 trials to find the architecture and hyperparameters that minimize training loss and maximize model performance. What should you do?
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A
Run one hypertuning job for 100 trials. Set num_hidden_layers as a conditional hyperparameter based on its parent hyperparameter training_method, and set learning_rate as a non-conditional hyperparameter.
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B
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