Question 1

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 2

What does the Gensim library primarily offer for NLP tasks?

Options :

A : Named entity recognition

B : Sentiment analysis

C : Text preprocessing and vectorization

D : Topic modeling and document similarity

Answer: D

Question 3

In Keras, what does the tf.keras.Model.fit() method do during training?

Options :

A : It trains the model on the dataset

B : It compiles the model

C : It evaluates the model’s performance

D : It saves the model to a file

Answer: A

Question 4

Which Keras method is used to compile a model with a specified loss function and optimizer?

Options :

A : model.fit()

B : model.evaluate()

C : model.summary()

D : model.compile()

Answer: D

Question 5

What type of plot would you use to compare the performance metrics of different models across multiple evaluation criteria?

Options :

A : Line Chart

B : Bar Chart

C : Radar Chart

D : Box Plot

Answer: C

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