提交 63911826 编写于 作者: S shippingwang 提交者: ceci3

fixed typo, test=develop

上级 4449e855
......@@ -313,9 +313,11 @@ def cosine_decay(learning_rate, step_each_epoch, epochs):
"""
Applies cosine decay to the learning rate.
when training a model, it is oftem recommended to lower the learning rate as the
when training a model, it is often recommended to lower the learning rate as the
training progresses. By using this function, the learning rate will be decayed by
following cosine decay strategy.
decayed_lr = learning_rate * 0.5 * (math.cos(epoch * math.pi / epochs) + 1)
Args:
learning_rate(Variable|float): The initial learning rate.
......
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