Selected MCQ

Current Question
Which loss function is typically used for binary classification?
  • A. Softmax loss
  • B. Mean squared error
  • C. Cross-entropy loss
  • D. Huber loss
Correct Answer: C
Explanation:
Cross-entropy loss (binary or logistic) is commonly used for binary classification tasks.
Related Question 1
Which metric is typically used to evaluate the performance of a binary classification model?
  • A. Euclidean distance
  • B. Mean Squared Error
  • C. Accuracy or F1-score
  • D. AUC-ROC
Correct Answer: C
Explanation:
Accuracy and F1-score are common evaluation metrics for classification models.
Related Question 2
What is a common activation function used in the output layer for multi-class classification?
  • A. Sigmoid
  • B. Softmax
  • C. ReLU
  • D. Linear
Correct Answer: B
Explanation:
Softmax activation is used for multi-class outputs to produce probabilities summing to 1.
Related Question 3
Which of the following is a common loss function for regression problems?
  • A. Cross-entropy loss
  • B. Mean squared error
  • C. Hinge loss
  • D. Binary entropy
Correct Answer: B
Explanation:
Mean squared error is typically used for regression to measure the average squared difference.
Related Question 4
Which coordinate system is typically used to represent a robot's end-effector orientation in 3D space?
  • A. Euler angles
  • B. RGB color space
  • C. Cartesian coordinates
  • D. Binary coordinates
Correct Answer: A
Explanation:
Euler angles (or quaternions) are often used to describe the 3D orientation of a robot's end-effector.
Related Question 5
What role does the "loss function" serve in training a neural network?
  • A. Generate predictions
  • B. Aggregate features
  • C. Calculate error to guide learning
  • D. Normalize data
Correct Answer: C
Explanation:
The loss function quantifies the difference between predictions and true values, guiding weight adjustments.