PyTorch中的优化器简介
算法
| 算法 | 说明 |
| Adadelta | Implements Adadelta algorithm. |
| Adafactor | Implements Adafactor algorithm. |
| Adagrad | Implements Adagrad algorithm. |
| Adam | Implements Adam algorithm. |
| AdamW | Implements AdamW algorithm. |
| SparseAdam | SparseAdam implements a masked version of the Adam algorithm suitable for sparse gradients. |
| Adamax | Implements Adamax algorithm (a variant of Adam based on infinity norm). |
| ASGD | Implements Averaged Stochastic Gradient Descent. |
| LBFGS | Implements L-BFGS algorithm. |
| NAdam | Implements NAdam algorithm. |
| RAdam | Implements RAdam algorithm. |
| RMSprop | Implements RMSprop algorithm. |
| Rprop | Implements the resilient backpropagation algorithm. |
| SGD | Implements stochastic gradient descent (optionally with momentum). |
最后更新于11月前
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