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Question 40 - D-GAI-F-01 discussion

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A team of researchers is developing a neural network where one part of the network compresses input data.

What is this part of the network called?

A.
Creator of random noise
Answers
A.
Creator of random noise
B.
Encoder
Answers
B.
Encoder
C.
Generator
Answers
C.
Generator
D.
Discerner of real from fake data
Answers
D.
Discerner of real from fake data
Suggested answer: B

Explanation:

In the context of neural networks, particularly those involved in unsupervised learning like autoencoders, the part of the network that compresses the input data is called the encoder. This component of the network takes the high-dimensional input data and encodes it into a lower-dimensional latent space. The encoder's role is crucial as it learns to preserve as much relevant information as possible in this compressed form.

The term ''encoder'' is standard in the field of machine learning and is used in various architectures, including Variational Autoencoders (VAEs) and other types of autoencoders. The encoder works in tandem with a decoder, which attempts to reconstruct the input data from the compressed form, allowing the network to learn a compact representation of the data.

The options ''Creator of random noise'' and ''Discerner of real from fake data'' are not standard terms associated with the part of the network that compresses data. The term ''Generator'' is typically associated with Generative Adversarial Networks (GANs), where it generates new data instances.

The Dell GenAI Foundations Achievement document likely covers the fundamental concepts of neural networks, including the roles of encoders and decoders, which is why the encoder is the correct answer in this context12.

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asked 16/09/2024
Robert McConnell
32 questions
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