Question

3
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Q:5. Which of the following statements are correct
for GAN?
a. GANs are useful for unsupervised learning,
supervised learning, semi-supervised learning, and
reinforcement learning
b. Generative model technique learns to generate
the data with the same statistics of training data
c. At each iteration the goal of generator is to
minimize the classification error and the goal of
discriminator is to maximize the classification
error.
d. The discriminator could tell the difference
between images of a cat and a dog and generative
model could generate new images of animals that
look like real animals.
@
1.
a,b,c
2.
a,b,d
3.
a,c,d
4.
b,c,d
enter reason here​

Answer 1

Answer:

1.a,b,c

I hope it will help you

Answer 2

1) a, b and c of the following statements are correct.

Explanation:

Given,

GANs are Generative adversarial networks, these are algorithm architectures which make use of two neural networks, pitting one against the other. This is generally used broadly in generation of images, video generations and also generation of voices.

a. GANs are useful for unsupervised learning,

supervised learning, semi-supervised learning, and

reinforcement learning

b. Generative model technique learns to generate

the data with the same statistics of training data

c. At each iteration the goal of generator is to

minimize the classification error and the goal of

discriminator is to maximize the classification

error.

Therefore, statements a, b and c are correct.