Cyber Monday 2024! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Dell EMC Exam D-GAI-F-01 Topic 2 Question 1 Discussion

Actual exam question for Dell EMC's D-GAI-F-01 exam
Question #: 1
Topic #: 2
[All D-GAI-F-01 Questions]

In a Generative Adversarial Network (GAN), you have a network that evaluates whether the data generated by the other network is real or fake. What is this evaluating network

called?

Show Suggested Answer Hide Answer
Suggested Answer: C

In a Generative Adversarial Network (GAN), the network that evaluates whether the data generated by the other network is real or fake is called the Discriminator. The GAN architecture consists of two main components: the Generator and the Discriminator. The Generator's role is to create data that is similar to the real data, while the Discriminator's role is to evaluate the data and determine if it is real (from the actual dataset) or fake (created by the Generator). The Discriminator learns to make this distinction through training, where it is presented with both real and generated data1.

This setup creates a competitive environment where the Generator improves its ability to create realistic data, and the Discriminator improves its ability to detect fakes. This adversarial process enhances the quality of the generated data over time, making GANs powerful tools for generating new data instances that are indistinguishable from real data1.

The terms ''Decoder'' (Option OB) and ''Encoder'' (Option OD) are associated with different types of neural network architectures, such as autoencoders, and do not describe the evaluating network in a GAN. The ''Generator'' (Option OA) is the part of the GAN that creates data, not the part that evaluates it. Therefore, the correct answer is C. Discriminator, as it is the network within a GAN that is responsible for evaluating the authenticity of the generated data1.


by Kristofer at Aug 06, 2024, 06:00 AM

Limited Time Offer

25%

Off

Get Premium D-GAI-F-01 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Stanton
3 months ago
I remember reading that the discriminator is the one that gets to call the shots in a GAN. It's the real MVP, if you ask me.
upvoted 0 times
...
Jean
3 months ago
The discriminator is like the bouncer at a club - it decides who gets in and who gets the boot. Gotta pass that vibe check!
upvoted 0 times
Lizbeth
3 months ago
C) Discriminator
upvoted 0 times
...
Stevie
3 months ago
A) Generator
upvoted 0 times
...
...
Benton
3 months ago
Ah, the discriminator, the judge and jury of the GAN world. May the best data win!
upvoted 0 times
...
Shaun
3 months ago
I'm pretty sure the discriminator is the one that tells the generator if it's doing a good job or not. Gotta keep that generator in check!
upvoted 0 times
Shantell
3 months ago
That's correct! The discriminator helps the generator improve its output.
upvoted 0 times
...
Rodrigo
3 months ago
Yes, you're right! The discriminator is like the judge in the GAN.
upvoted 0 times
...
...
Selene
4 months ago
I believe the correct answer is C) Discriminator because it helps the GAN learn to generate more realistic data.
upvoted 0 times
...
Annelle
4 months ago
I agree with Lilli, the Discriminator evaluates if the data is real or fake.
upvoted 0 times
...
Lilli
4 months ago
I think the evaluating network is called the Discriminator.
upvoted 0 times
...
Honey
4 months ago
The correct answer is C) Discriminator. In a GAN, the discriminator network evaluates whether the generated data is real or fake.
upvoted 0 times
Xuan
3 months ago
No, it's actually called the Discriminator.
upvoted 0 times
...
Raelene
4 months ago
Is the evaluating network in a GAN called the Generator?
upvoted 0 times
...
...

Save Cancel