Hello Friends in this post we will discuss about Generative Adversarial Network machine learning Multiple Choice Questions and answers.
1. GNN Stands for ______.
- Generative Advertising Network
- Generative Adversarial Network
- Generate Adversarial Network
- Generation adversarial Network
Generative Adversarial Network
2.Generative Adversarial Networks was developed and introduced by_________.
- Allan Tunning
- J. Goodfellow
- Rutherford
- None of the above
J. Goodfellow
3.Generative Adversarial Networks was developed and introduced in ________.
- 2015
- 2014
- 2013
- 2012
2014
4.Generative Adversarial Networks (GANs) can be broken down into ______ parts.
- 4
- 3
- 2
- 1
Generative Adversarial Networks (GANs) can be broken down into three parts.
5._____ is used To learn a generative model, which describes how data is generated in terms of a probabilistic model.
- Adversarial
- Generative
- Networks
- discriminator
Generative
6.In ______The training of a model is done in an adversarial setting.
- Adversarial
- Generative
- Networks
- Discriminator
Adversarial
7.In ______Use deep neural networks as the artificial intelligence (AI) algorithms for training purpose.
- Adversarial
- Generative
- Networks
- Discriminator
Networks
8.______is the simplest type GAN.
- Conditional GAN
- Vanilla GAN
- Deep Convolutional GAN
- Laplacian Pyramid GAN
Vanilla GAN
9.______described as a deep learning method in which some conditional parameters are put into place.
- Conditional GAN
- Vanilla GAN
- Deep Convolutional GAN
- Laplacian Pyramid GAN
Conditional GAN
10.Which is one of the most popular also the most successful implementation of GAN?
- Conditional GAN
- Vanilla GAN
- Deep Convolutional GAN
- Laplacian Pyramid GAN
Deep Convolutional GAN
11.____is a way of designing a GAN in which a deep neural network is used.
- Conditional GAN
- Vanilla GAN
- Deep Convolutional GAN
- Super Resolution GAN
Super Resolution GAN
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