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 gradient descent in the backpropagation algorithm?Question 11Answera.The process of adjusting the weights and biases in the backward directionb.The process of minimizing the error between the predicted output and the actual outputc.The process of adjusting the weights and biases in the forward directiond.The process of maximizing the error between the predicted output and the actual output

What is the forward pass in the backpropagation algorithm?Question 12Answera.The process of adjusting the weights and biases in the backward directionb.The process of adjusting the weights and biases in the forward directionc.The process of calculating the error between the predicted output and the actual outputd.The process of predicting the output of the neural network based on the input data

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 process of adjusting the weights and biases based on the error in the output layer called?Select one:a.Backpropagationb.None of the abovec.Forward propagationd.Activation

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