Quiz | Croma Campus

Which of the following statements is true regarding GANs?

GANs require labeled data for training
GANs are only used for image generation
GANs consist of a single neural network
GANs can suffer from mode collapse

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What is the primary objective of generative AI?

To generate data
To generate new content similar to a given dataset
To classify data
To optimize existing models

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Which of the following is NOT a type of GAN architecture?

DCGAN
WGAN
VGGAN
SAGAN

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What is Generative AI?

AI that generates random outputs
AI that creates new data resembling a given dataset
AI that optimizes existing data
AI that analyzes patterns in data

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Which loss function is typically used in training a GAN?

Mean Squared Error (MSE)
Cross-Entropy Loss
Hinge Loss
KL Divergence

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Which of the following is a disadvantage of Generative Adversarial Networks (GANs)?

They are difficult to train.
They cannot generate diverse outputs.
They are prone to mode collapse.
They require large amounts of labeled data.

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Which of the following is NOT a Generative AI model?

ResNet
DCGAN
BERT
PixelCNN

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Which of the following techniques is used for generating realistic images with controllable attributes?

StyleGAN
DCGAN
CycleGAN
Pix2Pix

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Which technique is used to train GANs to produce high-quality images without mode collapse?

Wasserstein GAN (WGAN)
Deep Convolutional GAN (DCGAN)
Adversarial Autoencoder (AAE)
Least Squares GAN (LSGAN)

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Which technique can be used to interpolate between two images in latent space?

Style transfer
Linear interpolation
Gradient descent
Random sampling

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Which of the following is a popular framework for training Generative Adversarial Networks (GANs)?

TensorFlow
Scikit-learn
PyTorch
Keras

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What does the term "mode collapse" refer to in the context of GANs?

The discriminator becomes too strong
The generator fails to learn any meaningful patterns
The generator produces a limited variety of outputs
The training process becomes unstable

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Which layer is typically used in the generator of a GAN to upsample data?

Convolutional Layer
Pooling Layer
Transposed Convolutional Layer
Dense Layer

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Which of the following techniques can be used to mitigate mode collapse in GANs?

Increasing the learning rate
Adding noise to the input data
Using Wasserstein distance as the loss function
Decreasing the number of training epochs

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Which technique is used for regularization in Generative AI models to prevent overfitting?

Dropout
L1 Regularization
Batch Normalization
Data Augmentation

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Which of the following techniques is commonly used in generative adversarial networks (GANs)?

Support Vector Machines (SVM)
Reinforcement Learning
Backpropagation
Variational Autoencoders (VAEs)

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Which of the following is a popular dataset used for training Generative AI models?

MNIST
ImageNet
CIFAR-10
All of the above

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Which loss function is commonly used in training Variational Autoencoders (VAEs)?

Mean Squared Error (MSE)
Cross Entropy Loss
Reconstruction Loss
Discriminator Loss

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Which technique is used to improve the training stability of GANs by constraining the Lipschitz constant of the discriminator?

Gradient Clipping
Label Smoothing
Wasserstein Distance
Adversarial Training

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Which of the following is a disadvantage of GANs?

Mode collapse
Slow convergence
Difficulty in training
All of the above

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Which of the following is NOT a type of generative model?

GAN
VAE
RNN
PixelCNN

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Which type of Generative AI model is used for generating sequences like text or music?

Variational Autoencoders (VAEs)
Generative Adversarial Networks (GANs)
Recurrent Neural Networks (RNNs)
Convolutional Neural Networks (CNNs)

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Which Generative AI model is typically used for generating high-resolution images?

Autoencoders
Variational Autoencoders (VAEs)
Generative Adversarial Networks (GANs)
Transformer models

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In VAE, what is the role of the decoder?

To generate data
To compress input data into a latent space
To evaluate the generated data
To reconstruct the original input data from the latent space

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Which technique is used for generating images pixel by pixel?

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In a GAN, what is the role of the generator?

To generate fake data
To evaluate the generated data
To classify data
To optimize the discriminator

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In VAE, what is the purpose of the encoder?

To generate data
To compress input data into a latent space
To evaluate the generated data
To optimize the decoder

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Which of the following is a common evaluation metric for Generative AI models?

Mean Squared Error (MSE)
Accuracy
Frechet Inception Distance (FID)
Precision-Recall Curve

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Which technique is used to prevent mode collapse in GANs?

Adding more layers to the generator
Decreasing the learning rate
Using feature matching
Adding noise to the inputs

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Which technique is used for conditioning GANs to generate specific outputs?

Dropout
One-hot encoding
Batch normalization
Label smoothing

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