Whats true for Drive reinforcement learning?(a) logical And & Or operations are used for input output relations(b) weight corresponds to minimum & maximumof units are connected(c) weights are expressed as linear combination of orthogonal basis vectors(d) change in weight uses a weighted sum of changes in past input valuesI had been asked this question by my college professor while I was bunking the class.My query is from Learning Laws in section Activation and Synaptic Dynamics of Neural Networks

Whats true for Drive reinforcement learning?(a) logical And & Or opera

1.	Whats true for Drive reinforcement learning?(a) logical And & Or operations are used for input output relations(b) weight corresponds to minimum & maximumof units are connected(c) weights are expressed as linear combination of orthogonal basis vectors(d) change in weight uses a weighted sum of changes in past input valuesI had been asked this question by my college professor while I was bunking the class.My query is from Learning Laws in section Activation and Synaptic Dynamics of Neural Networks
Answer» Correct CHOICE is (d) change in weight USES a weighted sum of changes in past input VALUES Explanation: In Drive reinforcement learning, change in weight uses a weighted sum of changes in past input values.

Discussion

No Comment Found

Related InterviewSolutions

Can a neural network learn & recall at the same time?(a) yes(b) noI got this question in class test.The origin of the question is Recall topic in section Activation and Synaptic Dynamics of Neural Networks
In nearest neighbour case, the stored pattern closest to input pattern is recalled, where does it occurs?(a) feedback pattern classification(b) feedforward pattern classification(c) can be feedback or feedforward(d) none of the mentionedI have been asked this question at a job interview.Origin of the question is Recall topic in chapter Activation and Synaptic Dynamics of Neural Networks
What happens during recall in neural networks?(a) weight changes are suppressed(b) input to the network determines the output activation(c) both process has to happen(d) none of thementionedThis question was posed to me during an interview.This question is from Recall in section Activation and Synaptic Dynamics of Neural Networks
What does 3rd theorem that describe the stability of a set of nonlinear dynamical systems?(a) shows the stability of fixed weight autoassociative networks(b) shows the stability of adaptive autoaassociative networks(c) shows the stability of adaptive heteroassociative networks(d) none of the mentionedI have been asked this question in an international level competition.Origin of the question is Recall topic in division Activation and Synaptic Dynamics of Neural Networks
What does cohen grossberg kosko theorem?(a) shows the stability of fixed weight autoassociative networks(b) shows the stability of adaptive autoaassociative networks(c) shows the stability of adaptive heteroassociative networks(d) none of the mentionedI got this question in an international level competition.My question is from Recall topic in portion Activation and Synaptic Dynamics of Neural Networks
What does cohen grossberg theorem?(a) shows the stability of fixed weight autoassociative networks(b) shows the stability of adaptive autoaassociative networks(c) shows the stability of adaptive heteroassociative networks(d) none of the mentionedThis question was posed to me in examination.Question is taken from Recall topic in division Activation and Synaptic Dynamics of Neural Networks
V(x) is said to be lyapunov function if?(a) v(x) >=0(b) v(x)
Lyapunov function is vector in nature?(a) yes(b) noThe question was posed to me in an internship interview.My question is based upon Recall in division Activation and Synaptic Dynamics of Neural Networks
Did existence of lyapunov function is necessary for stability?(a) yes(b) noThis question was posed to me at a job interview.The query is from Recall in division Activation and Synaptic Dynamics of Neural Networks
What’s the role of lyaopunov fuction?(a) to determine stability(b) to determine convergence(c) both stability & convergence(d) none of the mentionedI got this question during a job interview.My doubt stems from Recall topic in portion Activation and Synaptic Dynamics of Neural Networks

Discussion

No Comment Found

Related InterviewSolutions

Reply to Comment