What is the learning rate in backpropagation?Select one:a.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 hyperparameter that determines the size of the weight and bias updates

What is the learning rate in the backpropagation algorithm?Question 9Answera.The rate at which the model predicts the outputb.The rate at which the weights and biases are adjusted in the forward passc.The rate at which the model learns from the training datad.The rate at which the weights and biases are adjusted in the backward 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 textHow does a backpropagation network learn?Select one:a.By adjusting the number of neurons in the network based on the input and output datab.By adjusting the weights and biases of the network based on the input and output datac.By adjusting the activation function of the network based on the input and output datad.By adjusting the architecture of the network based on the input and output data

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

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