AdamW is a stochastic optimization method that modifies the typical implementation of weight decay in Adam to combat Adam's known convergence problems by decoupling the weight decay from the gradient updates.
AdamW is a stochastic optimization method that modifies the typical implementation of weight decay in Adam to combat Adam's known convergence problems by decoupling the weight decay from the gradient updates.