Microsoft Exam DP-100 Topic 9 Question 100 Discussion

Actual exam question for Microsoft's DP-100 exam

Question #: 100
Topic #: 9

You are building recurrent neural network to perform a binary classification.

The training loss, validation loss, training accuracy, and validation accuracy of each training epoch has been provided. You need to identify whether the classification model is over fitted.

Which of the following is correct?

AThe training loss increases while the validation loss decreases when training the model.

BThe training loss decreases while the validation loss increases when training the model.

CThe training loss stays constant and the validation loss decreases when training the model.

DThe training loss .stays constant and the validation loss stays on a constant value and close to the training loss value when training the model.

Show Suggested Answer

Suggested Answer: B

by Galen at Apr 19, 2024, 05:26 PM

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Frank

2 months ago

Option B is the answer, no doubt about it. It's just like my grandma used to say, 'If the training loss is down and the validation's up, your model's in a rut!'

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Ollie

15 days ago

We should consider techniques like early stopping or regularization to address overfitting.

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Terina

18 days ago

Exactly, it's important to monitor the training and validation loss to prevent overfitting.

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Gregg

1 months ago

I agree, that indicates the model is overfitting.

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Nan

1 months ago

I think option B is correct. The training loss decreases while the validation loss increases.

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Antonio

1 months ago

'If the training loss is down and the validation's up, your model's in a rut!'

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Luisa

1 months ago

Option B is the answer, no doubt about it.

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Ethan

2 months ago

Hmm, this is a tricky one. I'm going to have to think about it more. Maybe I should ask the professor to give me a hint - I heard they're quite fond of dad jokes.

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