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Question 53 - D-GAI-F-01 discussion

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You are developing a new Al model that involves two neural networks working together in a competitive setting to generate new data.

What is this model called?

A.
Feedforward Neural Networks
Answers
A.
Feedforward Neural Networks
B.
Generative Adversarial Networks (GANs)
Answers
B.
Generative Adversarial Networks (GANs)
C.
Transformers
Answers
C.
Transformers
D.
Variational Autoencoders (VAEs)
Answers
D.
Variational Autoencoders (VAEs)
Suggested answer: B

Explanation:

Generative Adversarial Networks (GANs) are a class of artificial intelligence models that involve two neural networks, the generator and the discriminator, which work together in a competitive setting. The generator network generates new data instances, while the discriminator network evaluates them. The goal of the generator is to produce data that is indistinguishable from real data, and the discriminator's goal is to correctly classify real and generated data. This competitive process leads to the generation of new, high-quality data1.

Feedforward Neural Networks (Option OA) are basic neural networks where connections between the nodes do not form a cycle and are not inherently competitive. Transformers (Option OC) are models that use self-attention mechanisms to process sequences of data, such as natural language, for tasks like translation and text summarization. Variational Autoencoders (VAEs) (Option OD) are a type of neural network that uses probabilistic encoders and decoders for generating new data instances but do not involve a competitive setting between two networks. Therefore, the correct answer is B. Generative Adversarial Networks (GANs), as they are defined by the competitive interaction between the generator and discriminator networks2.

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asked 16/09/2024
Abigail Dodson
37 questions
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