What is the backward pass in the backpropagation algorithm?Select one:a.The process of calculating the error between the predicted output and the actual outputb.The process of predicting the output of the neural network based on the input datac.The process of adjusting the weights and biases in the backward directiond.The process of adjusting the weights and biases in the forward direction

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 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 gradient descent in the backpropagation algorithm?Select one:a.The process of maximizing the error between the predicted output and the actual outputb.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 adjusting the weights and biases in the backward direction

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 are the weights in the backpropagation algorithm?Select one:a.The values that are used to determine the activation function of the neural networkb.The values that are adjusted in the backward passc.The values that are adjusted in the forward passd.The values that are used to determine the output of the neural network