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@L1aoXingyu
作者你好,非常感谢您的分享。这里我提出一点小小的意见。
权重衰减可以通过 torch.optim.lr_scheduler 的相关类如 ExponentialLR完成,从而使权重衰减和训练逻辑分离。作权重衰减相关介绍的时候可以这么来介绍(实际使用也是这么使用比较广泛)。
torch.optim.lr_scheduler
ExponentialLR
https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
The text was updated successfully, but these errors were encountered:
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@L1aoXingyu
作者你好,非常感谢您的分享。这里我提出一点小小的意见。
权重衰减可以通过
torch.optim.lr_scheduler
的相关类如ExponentialLR
完成,从而使权重衰减和训练逻辑分离。作权重衰减相关介绍的时候可以这么来介绍(实际使用也是这么使用比较广泛)。https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
The text was updated successfully, but these errors were encountered: