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

The ______________ technique is used to adjust the weights in a neural network to minimize the cost function.

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 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

Which of the following algorithms use the differential equations to check how the cost function of prediction is changing?Select an option Clear ResponseK-MeansNeural NetworkGradient DescentRegression

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