What is the equation for the Hebb rule?Select one:a.w(new) = w(old) + η(input - output)x(target)b.w(new) = w(old) + η(target - output)x(input)c.w(new) = w(old) + η(output)x(input)d.w(new) = w(old) + η(output - target)x(input)

What is the Hebb rule?Select one:a.A rule used to determine the input to a neural networkb.A rule used to determine the structure of a neural networkc.A rule used to calculate the output of a neural networkd.A rule used to adjust the weights in a neural network

What is the main idea behind the Hebb rule?Select one:a.Neurons that fire together, wire togetherb.Neurons that fire in opposite directions, wire togetherc.Neurons that fire at the same time, wire togetherd.Neurons that fire in the same direction, wire together

What is the main disadvantage of the Hebb rule?Select one:a.It is prone to overfittingb.It is unable to handle large datasetsc.It is slow to converged.It is unable to handle nonlinear relationships

What is the role of the learning rate (η) in the Hebb rule?Select one:a.It determines the size of the weight updateb.It determines the convergence of the weight updatec.It determines the direction of the weight updated.It determines the speed of the weight update

Which rule describes the pattern shown? Choose 1 answer:Choose 1 answer:(Choice A)   Add  AAdd  (Choice B)   Add  BAdd  (Choice C)   Multiply by  CMultiply by  (Choice D)   Multiply by   DMultiply by