Generative Adversarial Network Multiple Choice Questions

Hello Friends in this post we will discuss about Generative Adversarial Network machine learning Multiple Choice Questions and answers.

1. GNN Stands for ______.

1. Generative Advertising Network
2. Generative Adversarial Network
3. Generate Adversarial Network
4. Generation adversarial Network

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2.Generative Adversarial Networks was developed and introduced by_________.

1. Allan Tunning
2. J. Goodfellow
3. Rutherford
4. None of the above

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3.Generative Adversarial Networks was developed and introduced in ________.

1. 2015
2. 2014
3. 2013
4. 2012

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4.Generative Adversarial Networks (GANs) can be broken down into ______ parts.

1. 4
2. 3
3. 2
4. 1

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5._____ is used To learn a generative model, which describes how data is generated in terms of a probabilistic model.

1. Adversarial
2. Generative
3. Networks
4. discriminator

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6.In ______The training of a model is done in an adversarial setting.

1. Adversarial
2. Generative
3. Networks
4. Discriminator

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7.In ______Use deep neural networks as the artificial intelligence (AI) algorithms for training purpose.

1. Adversarial
2. Generative
3. Networks
4. Discriminator

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8.______is the simplest type GAN.

1. Conditional GAN
2. Vanilla GAN
3. Deep Convolutional GAN
4. Laplacian Pyramid GAN

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9.______described as a deep learning method in which some conditional parameters are put into place.

1. Conditional GAN
2. Vanilla GAN
3. Deep Convolutional GAN
4. Laplacian Pyramid GAN

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10.Which is one of the most popular also the most successful implementation of GAN?

1. Conditional GAN
2. Vanilla GAN
3. Deep Convolutional GAN
4. Laplacian Pyramid GAN

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11.____is a way of designing a GAN in which a deep neural network is used.

1. Conditional GAN
2. Vanilla GAN
3. Deep Convolutional GAN
4. Super Resolution GAN

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