You create a multi-class image classification deep learning model that uses the PyTorch deep learning framework.
You must configure Azure Machine Learning Hyperdrive to optimize the hyperparameters for the classification model.
You need to define a primary metric to determine the hyperparameter values that result in the model with the best accuracy score.
Which three actions must you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Question

You create a multi-class image classification deep learning model that uses the PyTorch deep learning framework.

You must configure Azure Machine Learning Hyperdrive to optimize the hyperparameters for the classification model.

You need to define a primary metric to determine the hyperparameter values that result in the model with the best accuracy score.

Which three actions must you perform? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Joseph McCray · Accepted Answer

Set the primary_metric_goal of the estimator used to run the bird_classifier_train.py script to maximize.

Joseph McCray · Accepted Answer

Set the primary_metric_name of the estimator used to run the bird_classifier_train.py script to accuracy.

Joseph McCray · Accepted Answer

Add code to the bird_classifier_train.py script to calculate the validation accuracy of the model and log it as a float value with the key accuracy.

Joseph McCray · Answer

Add code to the bird_classifier_train.py script to calculate the validation loss of the model and log it as a float value with the key loss.

Joseph McCray · Answer

Set the primary_metric_goal of the estimator used to run the bird_classifier_train.py script to minimize.

Joseph McCray · Answer

Set the primary_metric_name of the estimator used to run the bird_classifier_train.py script to loss.

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