Boxi Weng

AdaPID: An Adaptive PID Optimizer for Training Deep Neural Networks

Deep neural networks (DNNs) have well-documented merits in learning nonlinear functions in high-dimensional spaces. Stochastic gradient descent (SGD)-type optimization algorithms are the ‘workhorse’ for training DNNs. Nonetheless, such algorithms often suffer from slow convergence, sizable fluctuati…