Question 1

How does deep reinforcement learning differ from traditional reinforcement learning?

Options :

A : It focuses on a single agent in an environment

B : It handles more complex tasks with deep neural networks

C : It requires less computational power

D : It uses labeled data for training

Answer: B

Question 2

What is the goal of sentiment analysis in NLP?

Options :

A : Generating summaries

B : Determining the attitude or emotion of the text

C : Translating languages

D : Extracting topics from a document

Answer: B

Question 3

Which layer in a convolutional neural network (CNN) is responsible for reducing the spatial dimensions of the input volume?

Options :

A : Fully connected layer

B : Convolutional layer

C : Pooling layer

D : Activation layer

Answer: C

Question 4

What is the significance of the loss function in neural network training?

Options :

A : Defines activation function

B : Regulates learning rate

C : Measures model performance

D : Determines batch size

Answer: C

Question 5

What is the primary goal of dependency parsing in NLP?

Options :

A : Translate languages

B : Classify text documents

C : Analyze grammatical relationships

D : Tokenize sentences

Answer: C

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