
Week 4 Quiz 2 - Practical aspects of deep learning
Authored by Mau-Luen Tham
Science
University
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9 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
If you have 10,000,000 examples, how would you split the train/dev/test set?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
If your Neural Network model seems to have high variance, what of the following would be promising things to try?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
You are working on an automated check-out kiosk for a supermarket, and are building a classifier for apples, bananas and oranges. Suppose your classifier obtains a training set error of 0.5%, and a dev set error of 7%. How to improve your classifier?
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
What is weight decay?
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
What happens when you increase the regularization hyperparameter lambda?
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
With the inverted dropout technique, at test time:
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
Increasing the parameter keep_prob from (say) 0.5 to 0.6 will likely cause the following:
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