Câu 35: DP-100: Designing and Implementing a Data Science Solution on Azure
You are building a recurrent neural network to perform a binary classification. You review the training loss, validation loss, training accuracy, and validation accuracy for each training epoch. You need to analyze model performance. You need to identify whether the classification model is overfitted. Which of the fol…
Nội dung câu hỏi
You are building a recurrent neural network to perform a binary classification. You review the training loss, validation loss, training accuracy, and validation accuracy for each training epoch. You need to analyze model performance. You need to identify whether the classification model is overfitted. Which of the following is correct?
Các lựa chọn
Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.
- A. The training loss stays constant and the validation loss stays on a constant value and close to the training loss value when training the model.
- B. The training loss decreases while the validation loss increases when training the model. — đáp án hiện tại
- C. The training loss stays constant and the validation loss decreases when training the model.
- D. The training loss increases while the validation loss decreases when training the model.
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