alleryStart learning →At test time dropout is approximated by
AInverting the mask used at the start of training only
BSampling many random dropout masks and averaging
CMultiplying each output by 0.5 with no neuron zeroed
DDisabling all hidden neurons and using only FC layers
Answer & Solution
Correct answer: C. Multiplying each output by 0.5 with no neuron zeroed
At test time all neurons are used, but their outputs are multiplied by 0.5 (the keep probability).
This approximates the geometric mean of the predictive distributions over the exponentially many dropout sub-networks.
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