Autoencoders

Autoencoders

University

15 Qs

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Autoencoders

Autoencoders

Assessment

Quiz

Other

University

Practice Problem

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15 questions

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1.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Media Image

What is the primary objective of an Autoencoder?

Classification

Clustering

Data Reconstruction

Dimensionality Increse

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Media Image

Which of the following is NOT a component of an Autoencoder?

Encoder
Decoder
Latent Space

Optimizer

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What does the latent space in an Autoencoder represent?

An uncompressed version of the input data.
A random selection of the input data.
A compressed representation of the input data.
A detailed explanation of the input data.

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which of the following techniques is commonly used to train an Autoencoder?

Semi-supervised Learning

Supervised Learning

Reinforcement Learning

Unsupervised Learning

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is the role of the decoder in an Autoencoder?

To reconstruct the input data from the latent space.

To compress the input data.

To classify the input data.

To visualize the input data.

6.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which loss function is commonly used in Autoencoders for reconstruction?

Mean Squared Error (MSE)
Categorical Cross-Entropy
Hinge Loss
Binary Cross-Entropy

7.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is a common application of Autoencoders?

Data Augumentation

Image Denoising

Sentiment Analysis

Text Classification

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