1. Which Boolean function with two inputs x1 and x2 is represented by the following decision boundary? (Points on boundary or right of the decision boundary to be classified 1)
- AND
- OR
- XOR
- NAND
Answer :- b
2. Choose the correct input-output pair for the given MP Neuron.
Answer :- a, b, c, d
3. Suppose we have a boolean function that takes 4 inputs x1, x2, x3, x4? We have an MP neuron with parameter θ=2. For how many inputs will this MP neuron give output y=1?
- 11
- 21
- 15
- 8
Answer :- a
4. We are given the following data:
Can you classify every label correctly by training a perceptron algorithm? (assume bias to be 0 while training)
- Yes
- No
Answer :- b
5. We are given the following dataset with features as (x1,x2) and y as the label (-1,1). If we apply the perception algorithm on the following dataset with w initialized as (0,0). What will be the value of w when the algorithm converges? (Start the algorithm from (2,2)
- (-2,2)
- (2,1)
- (2,-1)
- None of These
Answer :- c
6. Consider points shown in the picture. The vector w is (-1,0). As per this weight vector, the Perceptron algorithm will predict which classes for the data points x1 and x2.
- x1=1
- x2=1
- x1=-1
- x2=-1
Answer :- b, c
7. Given an MP neuron with the inputs as x1,x2,x3,x4,x5 and threshold θ=3 where x5 is inhibitory input. For input (1,1,1,0,1) what will be the value of y?
- y=0
- y=1 since θ≥3
- y=1/2
- Insufficient information
Answer :- a
8. An MP neuron takes two inputs x1 and x2. Its threshold is θ=0. Select all the boolean functions this MP neuron may represent.
- AND
- NOT
- OR
- NOR
Answer :- d
Answer :- c
10. What is the ”winter of AI” referring to in the history of artificial intelligence?
- The period during winter when AI technologies are least effective due to cold temperatures
- A phase marked by decreased funding and interest in AI research.
- The season when AI algorithms perform at their peak efficiency.
- A period characterized by rapid advancements and breakthroughs in AI technologies.
Answer :- c