Adaptive Gradient Methods with Dynamic Bound of Learning Rate
北大和浙大本科生的这篇ICLR论文所提出的优化算法被媒体称为”拳打Adam，脚踢SGD“，该工作为他们在滴滴AI实验室实习时完成。这篇论文提出了两种优化算法，分别是Adabound和AMSBound，两个算法分别是Adam和AMSGrad的变体。在概括这篇论文的研究之前，首先介绍一下Adam和AMSGrad。 本文传送机 回顾之Adam 回顾之AMSGrad 论文内容 Abstract Intro
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相关文章
- 1. ADADELTA AN ADAPTIVE LEARNING RATE METHOD
- 2. A review of gradient descent optimization methods
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- 10. learning rate