What is the error function in the backpropagation algorithm?Select one:a.The function that adjusts the weights and biases in the backward passb.The function that determines the activation function of the neural networkc.The function that calculates the error between the predicted output and the actual outputd.The function that adjusts the weights and biases in the forward pass

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 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

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

What is the gradient descent in the backpropagation algorithm?Question 6Answera.The process of minimizing the error between the predicted output and the actual outputb.The process of adjusting the weights and biases in the forward directionc.The process of adjusting the weights and biases in the backward directiond.The process of maximizing the error between the predicted output and the actual output

What is the backpropagation algorithm used for?Select one:a.To find the optimal weights and biases of a neural networkb.To optimize the activation function of a neural networkc.All of the aboved.To classify data using a neural network