# NPTEL Deep Learning IIT Ropar ASSIGNMENT 1 Answers 2022

NPTEL Deep Learning IIT Ropar Assignment 1 Answers:- Hello students in this article we are going to share NPTEL Deep Learning IIT Ropar assignment week 1 answers. All the Answers provided below to help the students as a reference, You must submit your assignment at your own knowledge.

### About Deep Learning IIT Ropar Course:-

The world has become highly interconnected and hence more complex than ever before. We are surrounded by a multitude of networks in our daily life, for example, friendship networks, online Deep Learning IIT Ropar, world wide web, road networks etc. All these networks are today available online in the form of graphs which hold a whole lot of hidden information.

### Criteria to get Certificate:-

This course is a week 12 course the best of 8 out 12 assignments marks will be calculated for final result.

Below are mentioned criteria for final result

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Below you can find NPTEL Deep Learning IIT Ropar Assignment 1 Answers

### NPTEL Deep Learning IIT Ropar Assignment 1 Answers 2022:-

Q1. Pick out the appropriate shape of decision boundary if the number of inputs is three.

Ans:- d

Q2. Pick out the one in biological neuron that is responsible for receiving signal from other neurons.

Ans:- a

Q3. Which of the following is considered as a drawback of Deep Learning?

Ans:- c

Q4. Neurons play a vital role in how humans respond to the outside world. When does this occur?

Ans:- c

Q5. Consider a Mc Culloch Pitts Neuron for which the inputs are x1,x2 and x3. Also, the aggregate function g(x) is an OR function. What is the thresholding parameter for the same?

Ans:- b

Q6. Which of the following statements are True?
Statement I. Mc. Culloch Pitts neuron can be used to represent any boolean function
Statement II. If any of the inputs in a Mc. Culloch Pitts Neuron is inhibitory, then output will be zero

Ans:- b

Q7. Pick out the boolean function that is not linearly separable.

Ans:- d

Q8. In a perceptron learning algorithm, what is the initial value of the weights before the algorithm starts learning?

Ans:- c

Q9. What is the condition for convergence of a perceptron learning algorithm?

Ans:- b

Q10. Select all the statements that hold TRUE for a Single Perceptron.

Ans:- a,d,e

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