Question 1

What is the main purpose of using activation functions in neural networks?

Options :

A : To normalize input data

B : To introduce non-linearity

C : To reduce dimensionality

D : To cluster data

Answer: B

Question 2

What is the primary objective of semi-supervised learning in machine learning?

Options :

A : Eliminate Overfitting

B : Minimize Labeling Costs

C : Enhance Model Performance

D : Increase Model Transparency

E : Maximize Model Complexity

F : Reduce Training Time

Answer: B

Question 3

What is the purpose of dimensionality reduction in machine learning?

Options :

A : Data Augmentation

B : Model Evaluation

C : Model Regularization

D : Feature Extraction

E : Model Interpretation

F : Noise Reduction

Answer: D

Question 4

Which of the following is NOT a common technique for improving the performance of classification models?

Options :

A : Feature Engineering

B : Ensemble Learning

C : Hyperparameter Tuning

D : Regularization

E : Gradient Descent

F : Dimensionality Reduction

Answer: E

Question 5

What is the primary purpose of the softmax activation function in the output layer of a neural network for multi-class classification?

Options :

A : Reduce Model Complexity

B : Introduce Non-Linearity

C : Scale Input Features

D : Speed Up Convergence

E : Normalize Data

F : Compute Class Probabilities

Answer: F