Topic 1 Question 21
You have deployed multiple versions of an image classification model on AI Platform. You want to monitor the performance of the model versions over time. How should you perform this comparison?
Compare the loss performance for each model on a held-out dataset.
Compare the loss performance for each model on the validation data.
Compare the receiver operating characteristic (ROC) curve for each model using the What-If Tool.
Compare the mean average precision across the models using the Continuous Evaluation feature.
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コメント(17)
Answer is D
👍 12chohan2021/06/17D is correct. Choose the feature / capability GCP provides is always a good bet. :)
👍 6Danny20212021/09/08- 正解だと思う選択肢: B
The best option to monitor the performance of multiple versions of an image classification model on AI Platform over time is to compare the loss performance for each model on the validation data.
Option B is the best approach because comparing the loss performance of each model on the validation data is a common method to monitor machine learning model performance over time. The validation data is a subset of the data that is not used for model training, but is used to evaluate its performance during training and to compare different versions of the model. By comparing the loss performance of each model on the same validation data, you can determine which version of the model has better performance.
👍 4Fatiy2023/02/28
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