What is the RProp algorithm's convergence criterion?Select one:a.The error reaches a predetermined thresholdb.The error reaches a predetermined number of iterationsc.The error reaches a predetermined percentage of improvementd.The error does not improve for a predetermined number of iterations

How does the RProp algorithm adjust the learning rate?Select one:a.It uses a fixed learning rate regardless of the errorb.It increases the learning rate if the error increases and decreases the learning rate if the error decreasesc.It increases the learning rate if the error decreases and decreases the learning rate if the error increasesd.It uses a predetermined set of learning rates for each iteration

What is the main characteristic of the RProp algorithm?Select one:a.It uses a dynamic learning rateb.It uses a stochastic gradient descentc.It uses a fixed learning rated.It uses a predetermined set of weights

What is the RProp algorithm used for?Select one:a.Classificationb.Optimization of neural networksc.Regression analysisd.Clustering

What is the RProp algorithm's learning rate update rule?Select one:a.The learning rate is updated based on the difference between the current and previous iteration's gradientb.The learning rate is updated based on the difference between the current and previous iteration's weightsc.The learning rate is updated based on the difference between the current and previous iteration's errord.The learning rate is updated based on the difference between the current and previous iteration's Hessian matrix

How does the RProp algorithm handle the initialization of weights in the optimization process?Question 12Answera.It uses the previous iteration's weightsb.It uses predetermined weightsc.It uses random weightsd.It uses the weights of the best performing iteration