Quiz 3 Answers
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San Jose State University *
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Course
258
Subject
Electrical Engineering
Date
Jan 9, 2024
Type
Pages
5
Uploaded by MagistratePorpoiseMaster286
12/7/18, 4
:
04 PM
Quiz #3: FA18: EE-258 Sec 01 - Neural Networks
Page 1 of 5
https://sjsu.instructure.com/courses/1267065/quizzes/1280503?headless=1
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This quiz has been regraded; your new score reflects 3 questions that were affected.
Quiz #3
Due
Dec 4 at 11:59pm
Points
10
Questions
10
Available
after Dec 3 at 12pm
Time Limit
10 Minutes
A
!
empt History
Attempt
Time
Score
Regraded
LATEST
Attempt 1
3 minutes
8 out of 10
9 out of 10
Score for this quiz:
9
out of 10
Submitted Dec 4 at 6:04pm
This attempt took 3 minutes.
1 / 1 pts
Question 1
In L2 regularization, the weights are shrinked compared to the unregularized
model.
True
Correct!
Correct!
False
1 / 1 pts
Question 2
A modified version of normal equations can be used to find the weight vector
for a linear regression model under
L1 regularization.
12/7/18, 4
:
04 PM
Quiz #3: FA18: EE-258 Sec 01 - Neural Networks
Page 2 of 5
https://sjsu.instructure.com/courses/1267065/quizzes/1280503?headless=1
True
False
Correct!
Correct!
1 / 1 pts
Question 3
Dataset augmentation is a powerful regularization technique for image
classification tasks.
True
Correct!
Correct!
False
1 / 1 pts
Question 4
The weights of the kernel in a convolution layer of CNNs are preset before
training of the neural networks.
True
False
Correct!
Correct!
1 / 1 pts
Question 5
Bagging uses sampling with replacement to generate multiple different
datasets.
12/7/18, 4
:
04 PM
Quiz #3: FA18: EE-258 Sec 01 - Neural Networks
Page 3 of 5
https://sjsu.instructure.com/courses/1267065/quizzes/1280503?headless=1
True
Correct!
Correct!
False
1 / 1 pts
Question 6
Dropout trains the ensemble consisting of all subnetworks that can be formed by removing
nonoutput units from an underlying base network.
True
Correct!
Correct!
False
1 / 1 pts
Question 7
ResNet is a convolutional neural network.
True
Correct!
Correct!
False
1 / 1 pts
Question 8
A CNN has many fewer parameters than a fully connected DNN.
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