Quiz Space

Deep Learning · Quiz 1 · 15 Mar 2026 · January 2026 term

Question 11: Suppose you perform the perceptron algorithm on the foll…

Question 11

+2 marksOne correct option

Suppose you perform the perceptron algorithm on the following dataset:

Assume the initial weights

and we pass the data points in the order given in the table. The following rule is used for the classification:

Based on the above data, answer the given subquestions.

Suppose you perform the perceptron algorithm on the following dataset:
Suppose you perform the perceptron algorithm on the following dataset:
Suppose you perform the perceptron algorithm on the following dataset:

After one epoch, your friend claims that the perceptron weights no longer need updating, i.e., the model has converged. Specify whether the statement is true or false.

  1. A

    True

  2. B

    False

Show answer

Correct answer

  • A

    True

See the whole paperTake it as a mock test

Question 11 of 19 in the IIT Madras BS Deep Learning (Deep Learning) Quiz 1 paper sat on 15 Mar 2026, in the January 2026 term (Deep Learning 15 Mar 26). It carries 2 marks.

More questions from this paper

  1. Q1THIS IS QUESTION PAPER FOR THE SUBJECT "DEGREE LEVEL : DEEP LEARNING (COMPUTER BASED EXAM)" ARE YOU SURE YOU HAVE TO WR…
  2. Q2Which among the following is true for a McCulloch-Pitts (MP) neuron?
  3. Q3Consider a shallow neural network with a scalar input and a hidden layer with three neurons. The outputs of the hidden …
  4. Q4Consider a multilayer perceptron (MLP) with two binary inputs and , 2 neurons in the hidden layer, and 1 in the output …
  5. Q5Consider a neural network for a regression problem with input . The network has hidden layers, each with sigmoid neuron…
  6. Q6Consider a training set consisting of 12 samples. The vanilla gradient descent algorithm is used to update the model pa…
  7. Q7A content recommendation system models whether a user will engage with an item based on features . The training dataset…
  8. Q8Consider the truth table of a NAND function for two binary inputs: You use a perceptron for implementing the NAND funct…
  9. Q9Consider the truth table of a NAND function for two binary inputs: You use a perceptron for implementing the NAND funct…
  10. Q10Suppose you perform the perceptron algorithm on the following dataset: Assume the initial weights and we pass the data …
  11. Q12Consider a neural network for a binary classification problem with one input and one output. There is one hidden layer …
  12. Q13Consider a neural network for a binary classification problem with one input and one output. There is one hidden layer …
  13. Q14Consider a linear regression model trained using momentum-based mini-batch gradient descent with the loss function: whe…
  14. Q15Consider a linear regression model trained using momentum-based mini-batch gradient descent with the loss function: whe…
  15. Q16Consider the truth table of a NAND function for two binary inputs: You use a perceptron for implementing the NAND funct…
  16. Q17Suppose you perform the perceptron algorithm on the following dataset: Assume the initial weights and we pass the data …
  17. Q18Consider a neural network for a binary classification problem with one input and one output. There is one hidden layer …
  18. Q19Consider a linear regression model trained using momentum-based mini-batch gradient descent with the loss function: whe…