Adadelta¶
- class Adadelta(params, lr=1.0, rho=0.9, eps=1e-06, weight_decay=0.0)[源代码]¶
Implements Adadelta algorithm proposed in “ADADELTA: An Adaptive Learning Rate Method”.
- 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) – coefficient that scales delta before it is applied to the parameters. Default: 1.0.
rho (float) – coefficient used for computing a running average of squared gradients. Default: 0.9.
eps (float) – term added to the denominator to improve numerical stability. Default: 1e-6.
weight_decay (float) – weight decay (L2 penalty). Default: 0.
- 返回
An instance of the Adadelta optimizer.