Indian Institute of Technology Madras
BS Degree Programme · Examination & Study Paper
Machine Learning Practice
Neural networks (MLP)
Official Paper
Examination Instructions & Guidelines
- Solve on notebook/paper first before checking solutions.
- MCQ: Exactly 1 option is correct. Negative marking applies.
- MSQ: One or more options correct. Select all to score.
- Scientific calculator allowed for all calculations.
- Official answer key is sealed at the end of this sheet.
End Term · 31 Aug 2025 (FN)End Term
- Q1MCQ2 Marks·Choose one option
- A
- B
- C
- D
- E
- A
End Term · 31 Aug 2025 (AN)End Term
- Q2MCQ2 Marks·Choose one option
- A
- B
- C
- D
- E
- A
End Term · 22 Dec 2024 (AN)End Term
- Q3MCQ2 Marks·Choose one option
- AIt increases the model’s capacity to fit the training data closely, potentially causing overfitting.
- BIt adds a stronger regularization term to the loss function, reducing the model’s complexity and helping prevent overfitting.
- CIt makes the model more prone to overfitting by increasing its sensitivity to noise in the training data.
- DIt directly affects the learning rate, controlling how fast the model converges during training.
- Q4MSQ3 Marks·Choose all correct options
- AThe neural network contains 3 hidden layers with 5 neurons in each hidden layer
- BThe neural network contains 5 hidden layers with 3 neurons in each hidden layer
- CThe neural network contains 2 hidden layers with 3 neurons in the second hidden layer
- DThe neural network contains 2 hidden layers with 5 neurons in the first hidden layer
- ENone of the given options are correct