Generative Model

Generative Model

University

10 Qs

quiz-placeholder

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Generative Model

Generative Model

Assessment

Quiz

Computers

University

Practice Problem

Medium

Created by

宏笙謝 宏笙謝

Used 2+ times

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

Normalizing flows can only convert any (smooth) probability distribution into a Gaussian distribution.

True

False

2.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

Normalizing flows allow the exact evaluation of the probability (density) of a particular data sample.

True

False

3.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

Variational autoencoders (VAE) allow the exact evaluation of the probability (density) of a particular data sample.

True

False

4.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

Generative adversarial networks (GAN) allow the exact evaluation of the probability (density) of a particular data sample.

True

False

5.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

Normalizing flow models are trained by directly maximizing the log data likelihood.

True

False

6.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

Variational autoencoders (VAE) are trained by directly maximizing the log data likelihood.

True

False

7.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

Generative adversarial networks (GAN) are trained by directly maximizing the log data likelihood.

True

False

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