
ANNS-09
Authored by Megyeri István
Information Technology (IT)
University
Used 11+ times

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6 questions
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1.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
The momentum method ...
smooths the gradient over time
converges to global optima
overcomes smaller local optima
can be controlled by a value of [-1,1]
2.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Adaptive optimization methods
require less learning rate tuning
converge to global optima
are superior to sgd for all tasks
separate learning rates for each and every parameter
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Autoencoders are trained in a [] manner.
unsupervised
supervised
semi-supervised
contrastive
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Batch normalization standardize the [] to have 0 mean and 1 standard deviation.
input
output
activation of hidden layers
first layer output
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Highway network uses [] to aggregate branches.
gating
addition
linear projection
recurrent neurons
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Residual network uses [] to aggregate branches.
gating
addition
linear projection
recurrent neurons
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