What is the cost function used in backpropagation?Question 4Answera.The hinge lossb.The cross-entropy lossc.The mean absolute errord.The mean squared error

What is the learning rate in backpropagation?Question 1Answera.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 hyperparameter that determines the size of the weight and bias updatesd.The process of adjusting the weights and biases in the forward direction

Backpropagation

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 error function in the backpropagation algorithm?Question 5Answera.The function that adjusts the weights and biases in the forward passb.The function that calculates the error between the predicted output and the actual outputc.The function that determines the activation function of the neural networkd.The function that adjusts the weights and biases in the backward pass

22. When training a neural network, the goal is to minimize the cost function which quantifies the difference between the actual and the predicted values in the training sample. Which algorithm is used to achieve this?Back propagationFeed forwardRectified Linear UnitModified Rectified Linear UnitTransformers