ADOPT: A Universal Adaptive Gradient Method for Reliable Convergence without Hyperparameter Tuning Sana Hassan Artificial Intelligence Category – MarkTechPost
[[{“value”:” Adam is widely used in deep learning as an adaptive optimization algorithm, but it struggles with convergence unless the hyperparameter β2 is adjusted based on the specific problem. Attempts to fix this, like AMSGrad, require the impractical assumption of uniformly bounded gradient noise, which… Read More »ADOPT: A Universal Adaptive Gradient Method for Reliable Convergence without Hyperparameter Tuning Sana Hassan Artificial Intelligence Category – MarkTechPost