Demon

Demon Overview: Decaying Momentum for Optimizing Gradient Descent Demon, short for Decaying Momentum, is a stochastic optimizer designed to decay the total contribution of a gradient to all future updates in gradient descent algorithms. This algorithm was developed to improve the performance of gradient descent, which can sometimes oscillate around the minimum point and take a long time to converge. The Need for Demon Algorithm Optimization is an essential step in machine learning, especiall