APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of the following statements are true for the encoder in a Variational Autoencoder.
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It is an approximation function which outputs likely latent representations for a given input.
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It is equivalent to the true posterior
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It is an approximation of the true posterior
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It is still required during the generation process
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Explanation:
Detailed explanation-1: -The posterior explains how likely the latent variable is given the input, while the prior simply represents how the latent variables are distributed without any conditioning (in CVAEs conditions are added here as well).
Detailed explanation-2: -The basic difference between autoencoder and variational encoder is its ability to provide continuous data or a range of data in the latent space which is helping us to generate new data or a new image.
There is 1 question to complete.