NeuroFuzzyAdam: A Fuzzy-Enhanced Adaptive Optimization Algorithm for Deep Learning
Deep neural networks are commonly trained using adaptive optimization methods such as Adam because they converge quickly and perform well under stochastic training conditions. Despite these advantages, recent research has revealed several important drawbacks of Adam. In particular, the optimizer tends to converge towar...