Adam#
- class Adam(params, lr, betas=(0.9, 0.999), eps=1e-8, weight_decay=0.0)[源代码]#
实现 “Adam: A Method for Stochastic Optimization” 中提出的Adam算法。
- 参数:
params (
Union
[Iterable
[Parameter
],dict
]) – 可迭代对象,可以是一组待优化的参数,或定义几组参数的dict类型。lr (
float
) – learning rate. betas: coefficients used for computing running averages of gradient and its square. Default: (0.9, 0.999)eps (
float
) – term added to the denominator to improve numerical stability. Default: 1e-8weight_decay (
float
) – weight decay (L2 penalty). Default: 0