APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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It is a lower-bound to the maximum likelihood objective
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The gap between the VAE objective and the maximum likelihood objective is KL[p(z)||q(z|x)]
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The KL term can always be viewed as a regulariser for the VAE encoder
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The optimum of the VAE decoder is also the MLE optimum
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Detailed explanation-1: -Principle of VAE The encoder takes an image and outputs two vectors where each one represents the mean and the standard deviation. We sum the mean vector and the standard deviation vector, which is first multiplied by a random small value as a noise, and get a modified vector, which is the same is size.
Detailed explanation-2: -There are three definition tiers within the VAE algorithm: 1) Ventilator-Associated Condition (VAC); 2) Infection-related Ventilator-Associated Complication (IVAC); and 3) Possible VAP (PVAP).
Detailed explanation-3: -Bio-signal applications of VAE include detection of serious diseases using electrocardiogram (ECG) signals, data augmentation of bio-signals and improving electroencephalography (EEG)-based speech recognition systems, etc.