What is the bias update rule in backpropagation?Select one:a.B(i) = B(i) / alpha * delta(i)b.B(i) = B(i) - alpha * delta(i)c.B(i) = B(i) * alpha * delta(i)d.B(i) = B(i) + alpha * delta(i)

What is the bias update rule in the backpropagation algorithm?Select one:a.The process of minimizing the error between the predicted output and the actual outputb.The process of adjusting the weights and biases in the backward directionc.The mathematical formula that is used to update the biases based on the gradient descentd.The process of adjusting the weights and biases in the forward direction

What is the weight update rule in backpropagation?Select one:a.W(i, j) = W(i, j) - alpha * delta(i) * output(j)b.W(i, j) = W(i, j) + alpha * delta(i) * output(j)c.W(i, j) = W(i, j) / alpha * delta(i) * output(j)d.W(i, j) = W(i, j) * alpha * delta(i) * output(j)

Question textWhat are the biases in the backpropagation algorithm?Select one:a.The values that are adjusted in the forward passb.The values that are used to determine the output of the neural networkc.The values that are used to determine the activation function of the neural networkd.The values that are adjusted in the backward pass

What is the process of adjusting the weights and biases based on the error in the output layer called?Select one:a.Activationb.Backpropagationc.None of the aboved.Forward propagation

How does the backpropagation algorithm work?Select one:a.By adjusting the weights and biases of the neural network in the forward passb.By adjusting the activation function of the neural networkc.By adjusting the weights and biases of the neural network in the backward passd.By adjusting the weights and biases of the neural network in both the forward and backward passes