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Introduction to Deep Learning and Generative AI · Quiz 1 · 19 Jul 2026 · May 2026 term

Question 11: A perceptron in 2D is defined by a linear decision funct…

Question 11

+2 marksOne correct option

A perceptron in 2D is defined by a linear decision function:

Suppose a classification rule satisfies: 1. All points with x1 + x2 = 1 are classified as +1 2. All points with x1 + x2 = 0 are classified as -1 3. All points with x1 + x2 = 2 are classified as -1 Which of the following is TRUE?

A perceptron in 2D is defined by a linear decision function:
  1. A

    The problem is linearly separable because classes depend only on x1 + x2

  2. B

    The problem is not linearly separable

  3. C

    A linear separator exists only if w1 = w2

  4. D

    The problem is linearly separable when w1 = -w2

Show answer

Correct answer

  • B

    The problem is not linearly separable

See the whole paperTake it as a mock test

Question 11 of 20 in the IIT Madras BS Introduction to Deep Learning and Generative AI (Deep Learning and GenAI) Quiz 1 paper sat on 19 Jul 2026, in the May 2026 term (Introduction To Deep Learning And Generative Ai 16 Jul 26). It carries 2 marks.

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