Question 1

Which GAN variant is specifically designed to improve stability and training efficiency?

Options :

A : Wasserstein GAN (WGAN)

B : CycleGAN

C : Conditional GAN (cGAN)

D : Deep Convolutional GAN (DCGAN)

Answer: A

Question 2

In Keras, which class is used to define a custom training loop?

Options :

A : tf.keras.Model

B : tf.keras.callbacks.Callback

C : tf.keras.layers.Layer

D : tf.keras.optimizers.Optimizer

Answer: A

Question 3

In natural language processing, what is the primary advantage of using word embeddings over one-hot encoding?

Options :

A : Ability to capture semantic relationships between words

B : Compatibility with non-neural network models

C : Simplicity in implementation

D : Reduced computational cost

Answer: A

Question 4

What is the main challenge associated with the variance of Policy Gradient estimates?

Options :

A : It can lead to slow convergence and unstable learning

B : It complicates the implementation of target networks

C : It requires large experience replay buffers

D : It makes the reward signals less informative

Answer: A

Question 5

What is a primary advantage of using sentence embeddings over word embeddings?

Options :

A : More Detailed Word Representations

B : Contextual Understanding of Sentences

C : Simplified Tokenization

D : Better Handling of Synonyms

Answer: B