Related InterviewSolutions

• In hebbian learning intial weights are set?(a) random(b) near to zero(c) near to target value(d) near to target valueThe question was posed to me at a job interview.The query is from Learning topic in chapter Basics of Artificial Neural Networks of Neural Networks
• Which of the following learning laws belongs to same category of learning?(a) hebbian, perceptron(b) perceptron, delta(c) hebbian, widrow-hoff(d) instar, outstarThe question was posed to me by my school teacher while I was bunking the class.The question is from Learning in division Basics of Artificial Neural Networks of Neural Networks
• The instar learning law can be represented by equation?(a) ∆wjk= µ(bj – wjk), where the kth unit is the only active in the input layer(b) ∆wij= µ(bi – si) aj(c) ∆wij= µ(bi – si) aj Á(xi),wher Á(xi) is derivative of xi(d) ∆wij= µ(si) ajI had been asked this question during an online exam.My query is from Learning topic in chapter Basics of Artificial Neural Networks of Neural Networks
• Is outstar a case of supervised learning?(a) yes(b) noI got this question in an online interview.The doubt is from Learning in section Basics of Artificial Neural Networks of Neural Networks
• Correlation learning law can be represented by equation?(a) ∆wij= µ(si) aj(b) ∆wij= µ(bi – si) aj(c) ∆wij= µ(bi – si) aj Á(xi),where Á(xi) is derivative of xi(d) ∆wij= µ bi ajI had been asked this question by my school principal while I was bunking the class.Asked question is from Learning topic in section Basics of Artificial Neural Networks of Neural Networks
• The instar learning law can be represented by equation?(a) ∆wij= µ(si) aj(b) ∆wij= µ(bi – si) aj(c) ∆wij= µ(bi – si) aj Á(xi),where Á(xi) is derivative of xi(d) ∆wk= µ (a-wk), unit k with maximum output is identifiedI had been asked this question in examination.My query is from Learning in chapter Basics of Artificial Neural Networks of Neural Networks
• The other name for instar learning law?(a) looser take it all(b) winner take it all(c) winner give it all(d) looser give it allThe question was posed to me in a job interview.My enquiry is from Learning topic in portion Basics of Artificial Neural Networks of Neural Networks
• Is instar a case of supervised learning?(a) yes(b) noThis question was posed to me in class test.The question is from Learning in section Basics of Artificial Neural Networks of Neural Networks
• Correlation learning law is what type of learning?(a) supervised(b) unsupervised(c) either supervised or unsupervised(d) both supervised or unsupervisedI got this question in a job interview.I'm obligated to ask this question of Learning topic in portion Basics of Artificial Neural Networks of Neural Networks
• Correlation learning law is special case of?(a) Hebb learning law(b) Perceptron learning law(c) Delta learning law(d) LMS learning lawI got this question in homework.This interesting question is from Learning topic in chapter Basics of Artificial Neural Networks of Neural Networks