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”.

  • 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.


An instance of the Adadelta optimizer.