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 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 main advantage of the Hebb rule?Select one:a.It is easy to implementb.It is able to handle nonlinear relationshipsc.It is able to handle large datasetsd.It is fast to converge

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

What is the learning rule for a perceptron called?Select one:a.The Backpropagation Algorithmb.The Perceptron Learning Algorithmc.The Hebbian Ruled.The Delta Rule