Related InterviewSolutions

• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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