When are false wells created?(a) when number of patterns is more than number of basins of attraction(b) when number of patterns is less than number of basins of attraction(c) when number of patterns is same as number of basins of attraction(d) none of the mentionedI had been asked this question in an interview for internship.My enquiry is from Analysis of Pattern Storage Networks in chapter Feedback Neural Networks of Neural Networks

When are false wells created?(a) when number of patterns is more than

1.	When are false wells created?(a) when number of patterns is more than number of basins of attraction(b) when number of patterns is less than number of basins of attraction(c) when number of patterns is same as number of basins of attraction(d) none of the mentionedI had been asked this question in an interview for internship.My enquiry is from Analysis of Pattern Storage Networks in chapter Feedback Neural Networks of Neural Networks
Answer» The correct choice is (b) when number of patterns is LESS than number of BASINS of attraction For explanation I WOULD SAY: Explanation: False WELLS are created when number of patterns is less than number of basins of attraction.

Discussion

No Comment Found

Related InterviewSolutions

In boltzman learning which algorithm can be used to arrive at equilibrium?(a) hopfield(b) mean field(c) hebb(d) none of the mentionedThe question was posed to me in an interview.The query is from Boltzman Machine topic in division Feedback Neural Networks of Neural Networks
Boltzman learning is a?(a) fast process(b) steady process(c) slow process(d) none of the mentionedThis question was addressed to me in an international level competition.This intriguing question comes from Boltzman Machine topic in section Feedback Neural Networks of Neural Networks
False minima can be reduced by deterministic updates?(a) yes(b) noThis question was posed to me in my homework.My question is from Boltzman Machine topic in division Feedback Neural Networks of Neural Networks
Approximately how much times the boltzman learning get speeded up using mean field approximation?(a) 5-10(b) 10-30(c) 30-50(d) 50-70The question was posed to me in an internship interview.My query is from Boltzman Machine topic in section Feedback Neural Networks of Neural Networks
For practical implementation what type of approximation is used on boltzman law?(a) max field approximation(b) min field approximation(c) hopfield approximation(d) none of the mentionedI got this question during an interview.My question comes from Boltzman Machine topic in division Feedback Neural Networks of Neural Networks
What happens when we use mean field approximation with boltzman learning?(a) it slows down(b) it get speeded up(c) nothing happens(d) may speedup or speed downI have been asked this question in an international level competition.My question is from Boltzman Machine in chapter Feedback Neural Networks of Neural Networks
Is Boltzman law practical for implementation?(a) yes(b) noThe question was posed to me in a job interview.This question is from Boltzman Machine topic in section Feedback Neural Networks of Neural Networks
How is effect false minima reduced(a) deterministic update of weights(b) stochastic update of weights(c) deterministic or stochastic update of weights(d) none of the mentionedThis question was posed to me in class test.My question is from Boltzman Machine topic in portion Feedback Neural Networks of Neural Networks
Presence of false minima will have what effect on probability of error in recall?(a) directly(b) inversely(c) no effect(d) directly or inverselyI got this question in final exam.The above asked question is from Boltzman Machine in portion Feedback Neural Networks of Neural Networks
For what purpose Feedback neural networks are primarily used?(a) classification(b) feature mapping(c) pattern mapping(d) none of the mentionedI had been asked this question in an internship interview.I'm obligated to ask this question of Boltzman Machine topic in section Feedback Neural Networks of Neural Networks

Discussion

No Comment Found

Related InterviewSolutions

Reply to Comment