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paddle.fluid / layers / cosine_decay
cosine_decay¶
使用 cosine decay 的衰减方式进行学习率调整。
在训练模型时，建议一边进行训练一边降低学习率。 通过使用此方法，学习速率将通过如下cosine衰减策略进行衰减：
\[decayed\_lr = learning\_rate * 0.5 * (cos(epoch * math.pi / epochs) + 1)\]
- 参数：
-
learning_rate （Variable | float） - 初始学习率。
step_each_epoch （int） - 一次迭代中的步数。
epochs - 总迭代次数。
代码示例
import paddle.fluid as fluid
base_lr = 0.1
lr = fluid.layers.cosine_decay( learning_rate = base_lr, step_each_epoch=10000, epochs=120)
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