InterviewSolution

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This section includes InterviewSolutions, each offering curated multiple-choice questions to sharpen your knowledge and support exam preparation. Choose a topic below to get started.

1.	Drawbacks of template matching are?(a) time consuming(b) highly restricted(c) more generalized(d) none of the the mentionedThe question was posed to me in final exam.I'm obligated to ask this question of Introduction in section Introduction of Neural Networks
Answer» Right option is (B) highly restricted The EXPLANATION is: Point to point pattern MATCHING is carried out in the PROCESS.

2.	What is stability plasticity dilemma ?(a) system can neither be stable nor plastic(b) static inputs & categorization can’t be handled(c) dynamic inputs & categorization can’t be handled(d) none of the mentionedThis question was posed to me in quiz.My doubt stems from Introduction in section Introduction of Neural Networks
Answer» The correct option is (C) dynamic INPUTS & categorization can’t be handled To explain I WOULD say: If system is ALLOWED to CHANGE its categorization according to inputs it cannot be used for patterns classification & assessment.

3.	Example of a unsupervised feature map?(a) text recognition(b) voice recognition(c) image recognition(d) none of the mentionedI had been asked this question during an online interview.The query is from Introduction in portion Introduction of Neural Networks
Answer» Correct answer is (b) voice recognition To explain I would say: SINCE same vowel may occur in different CONTEXT & its features vary over OVERLAPPING REGIONS of different VOWELS.

4.	What is plasticity in neural networks?(a) input pattern keeps on changing(b) input pattern has become static(c) output pattern keeps on changing(d) output is staticThe question was posed to me in quiz.Question is from Introduction in division Introduction of Neural Networks
Answer» Correct answer is (a) input pattern KEEPS on changing Easiest EXPLANATION: Dynamic nature of input patterns in an AI(ARTIFICIAL Intelligence) PROBLEM.

5.	Does for feature mapping there’s need of supervised learning?(a) yes(b) noI had been asked this question in unit test.This key question is from Introduction topic in chapter Introduction of Neural Networks
Answer» CORRECT CHOICE is (b) no Easiest explanation: FEATURE mapping can be unsupervised, so it’s not a sufficient CONDITION.

6.	Does pattern classification & grouping involve same kind of learning?(a) yes(b) noThis question was addressed to me in my homework.My question is based upon Introduction in chapter Introduction of Neural Networks
Answer» Right OPTION is (b) no To ELABORATE: Pattern classification involves supervised LEARNING while grouping is an UNSUPERVISED one.

7.	In pattern mapping problem in neural nets, is there any kind of generalization involved between input & output?(a) yes(b) noThe question was posed to me in an interview.I need to ask this question from Introduction topic in section Introduction of Neural Networks
Answer» Correct choice is (a) yes The explanation: The desired output is MAPPED closest to the IDEAL output & HENCE there is generalisation INVOLVED.

8.	What is unsupervised learning?(a) features of group explicitly stated(b) number of groups may be known(c) neither feature & nor number of groups is known(d) none of the mentionedThis question was posed to me in unit test.My doubt stems from Introduction in portion Introduction of Neural Networks
Answer» The CORRECT option is (C) NEITHER feature & nor number of GROUPS is known The explanation is: Basic definition of unsupervised learning.

9.	Does pattern classification belongs to category of non-supervised learning?(a) yes(b) noThis question was addressed to me in a national level competition.The question is from Introduction topic in section Introduction of Neural Networks
Answer» Right ANSWER is (B) no The EXPLANATION: PATTERN classification belongs to category of supervised learning.

10.	What is auto-association task in neural networks?(a) find relation between 2 consecutive inputs(b) related to storage & recall task(c) predicting the future inputs(d) none of the mentionedI had been asked this question in final exam.This interesting question is from Introduction in chapter Introduction of Neural Networks
Answer» CORRECT choice is (b) related to STORAGE & recall task For explanation I would say: This is the basic definition of auto-association in NEURAL NETWORKS.

11.	What’s the main point of difference between human & machine intelligence?(a) human perceive everything as a pattern while machine perceive it merely as data(b) human have emotions(c) human have more IQ & intellect(d) human have sense organsI have been asked this question in an international level competition.My doubt stems from Introduction in portion Introduction of Neural Networks
Answer» The correct option is (a) human perceive EVERYTHING as a pattern while machine perceive it merely as data To explain I would SAY: Humans have emotions & thus form DIFFERENT patterns on that BASIS, while a machine(say computer) is DUMB & everything is just a data for him.

12.	What is the trend in software nowadays?(a) to bring computer more & more closer to user(b) to solve complex problems(c) to be task specific(d) to be versatileThis question was posed to me in semester exam.Question is from Introduction in section Introduction of Neural Networks
Answer» The correct ANSWER is (a) to BRING computer more & more closer to user For explanation I would SAY: Software should be moreinteractive to the user, so that it can understand its PROBLEM in a better fashion.

13.	Why do we need biological neural networks?(a) to solve tasks like machine vision & natural language processing(b) to apply heuristic search methods to find solutions of problem(c) to make smart human interactive & user friendly system(d) all of thementionedI got this question in a job interview.My question is from Introduction in portion Introduction of Neural Networks
Answer» RIGHT ANSWER is (d) all of thementioned Easy explanation: These are the basic aims that a NEURAL NETWORK achieve.