# Deep Learning | Week 3

**Course Name: Deep Learning**

**Course Link: Click Here**

**These are NPTEL Deep Learning Week 3 Assignment 3 Answers**

**Q1. A data point with 5-dimension [27, 40, -15, 30, 38] obtains a score [18, 20, -5, -15, 19]. Find the hinge loss incurred by second class (class-2) with a margin (A) of 5.**

a. 37

b. 7

c. 3

d. 120

**Answer: b. 7**

**Q2. What is the shape of the loss landscape during optimization of SVM?**

a. Linear

b. Paraboloid

c. Ellipsoidal

d. Non-convex with multiple possible local minimum

**Answer: b. Paraboloid**

**These are NPTEL Deep Learning Week 3 Assignment 3 Answers**

**Q3. How many local minimum can be encountered while solving the optimization for maximizing margin for SVM?**

a. 1

b. 2

c. ∞ (infinite)

d. 0

**Answer: a. 1**

**Q4. Which of the following classifiers can be replaced by a linear SVM?**

a. Logistic Regression

b. Neural Networks

c. Decision Trees

d. None of the above

**Answer: a. Logistic Regression**

**These are NPTEL Deep Learning Week 3 Assignment 3 Answers**

**Q5. Consider a 2-class [y= {-1, 1}] classification problem of 2 dimensional feature vectors. The support vectors and the corresponding class label and lagrangian multipliers are provided. Find the value of SVM weight matrix W?X₁=(-1,1), y₁=-1, α₁=2X2=(0,3), y2=1, A₂=1X3=(0,-1), y3-1, α3=1**

a. (-1,3)

b. (2,0)

c. (-2,4)

d. (-2,2)

**Answer: b. (2,0)**

**Q6. For a 2-class problem what is the minimum possible number of support vectors. Assume there are more than 4 examples from each class?**

a. 4

b. 1

c. 2

d. 8

**Answer: c. 2**

**These are NPTEL Deep Learning Week 3 Assignment 3 Answers**

**Q7. A Support Vector Machine defined by WTX + b = 0, with support vectors x, and corresponding Lagrangian multipliers a, and the class value is y₁. Which of the following is true.**

a. W = Σίνα,Χ

b. Σίγα; = 0

c. L = Σια; – {Σ;Σ;yy,aja,x, x,

d. All of the above

**Answer: d. All of the above**

**These are NPTEL Deep Learning Week 3 Assignment 3 Answers**

**Q8. Suppose we have one feature x E R and binary class y. The dataset consists of 3 points : p1 : (x1, y1) = (-1, −1), p2 : (x2, y2) = (1, 1), p3 : (x3, y3) = (3, 1). Which of the following true with respect to SVM?**

a. Maximum margin will increase if we remove the point p2 from the training set.

b. Maximum margin will increase if we remove the point p3 from the training set.

c. Maximum margin will remain same if we remove the point p2 from the training set.

d. None of the above.

**Answer: a. Maximum margin will increase if we remove the point p2 from the training set.**

**These are NPTEL Deep Learning Week 3 Assignment 3 Answers**

**Q9. If we employ SVM to realize two input logic gates, then which of the following will be true?**

a. The weight vector for AND gate and OR gate will be same.

b. The margin for AND gate and OR gate will be same.

c. Both the margin and weight vector will be same for AND gate and OR gate.

d. None of the weight vector and margin will be same for AND gate and OR gate.

**Answer: b. The margin for AND gate and OR gate will be same.**

**These are NPTEL Deep Learning Week 3 Assignment 3 Answers**

**Q10. The values of Lagrange multipliers corresponding to the support vectors can be:**

a. Less than zero

b. Greater than zero

c. Any real number

d. Any non zero number.

**Answer: b. Greater than zero**

**These are NPTEL Deep Learning Week 3 Assignment 3 Answers**

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