`weight-penalty` Related Article Results

AdamW (Adam with Weight Decay) is a variant of the Adam optimization algorithm and provides a significant improvement related to model regularization. This variant aims to enhance Adam’s overall performance and generalization capability by incorporating an L2 penalty term (weight decay). In the traditional Adam algorithm, weight decay is computed together with the gradient updates; however, AdamW applies this penalty term independently of the update step, enabling more effective regularization.