Introduction to Machine Learning – IITKGP Week 6 NPTEL Assignment Answers 2025

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✅ Subject: Introduction to Machine Learning – IITKGP (nptel ml Answers)
📅 Week: 6
🎯 Session: NPTEL 2025 July-October
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NPTEL Introduction to Machine Learning – IITKGP Week 6 Assignment Answers 2025

1. In training a neural network, we notice that the loss does not increase in the first few starting epochs: What is the reason for this?

A) The learning Rate is low.
B) Regularization Parameter is High.
C) Stuck at the Local Minima.
D) All of these could be the reason.

Answer : See Answers

2. What is the sequence of the following tasks in a perceptron?

I) Initialize the weights of the perceptron randomly.
I Go to the next batch of data set.
I) If the prediction does not match the output, change the weights.
IN) For a sample input, compute an output.

A) I, I, III, IV
B) IV, I, II, I
С) III, І, I, IV
D) I, IV, I, I

Answer :

3.

Answer :

4.

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5. Which of the following is true about model capacity (where model capacity means the ability of neural network to approximate complex functions)?

A) As number of hidden layers increase, model capacity increases
B) As dropout ratio increases, model capacity increases
C) As learning rate increases, model capacity increases
D) None of these.

Answer :

6.

Answer :

7. Which of the following is true?

Single layer associative neural networks do not have the ability to
I Perform patter recognition
Il) Find the parity of a picture
III) Determine whether two or more shapes in a picture are connected or not

A) Il and Ill are true
B) Is true
C) All of the above
D) None of the above

Answer :

8. The network that involves backward links from outputs to the inputs and hidden layers is called as

A) Self-organizing Maps
B) Perceptron
C) Recurrent Neural Networks
D) Multi-Layered Perceptron

Answer :

9. Intersection of linear hyperplanes in a three-layer network can produce both convex and non-convex surfaces. Is the statement true?

A) Yes
B) No

Answer :

10. What is meant by the statement “Backpropagation is a generalized delta rule”?

A) Because backpropagation can be extended to hidden layer units
B) Because delta is applied to only to input and output layers, thus making it more generalized.
C) It has no significance
D) None of the above.

Answer :  See Answers