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[zh] cs-229-deep-learning #12
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For your information, I translated after your progress in #23 :) |
@yijiajin Oh, I see :) Thanks a lot! |
@shervinea Should I preserve the number list head, like |
Thanks to the both of you for your hard work! @spin6lock The format is as follows:
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Dropout是2012年的paper:《ImageNet Classification with Deep Convolutional》所提到的算法,用于防止过拟合。目前还没看到通用的翻译,这里暂时翻译为降层 Dropout is from paper ImageNet Classification with Deep Convolutional. I can't find popular translation for it currently. Use 降层 as Dropout in translation. |
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预测 -> 估计
降层 -> 随机丢弃
归一化 -> 规范化
递归 -> 循环
策略检索 -> 策略搜索
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字母应该保留空格
交叉墒 -> 交叉熵
降层 -> 随机丢弃
批标准化 -> 批规范化
@spin6lock would you have time to do the changes? If not, no worries; then maybe we could continue this process directly on this PR that I previously marked as duplicate. |
Sorry for the late reply, I’ll fix it in afternoon:)
Shervine Amidi <[email protected]>于2018年10月3日 周三08:05写道:
… @spin6lock <https://github.com/spin6lock> would you have time to do the
changes? If not, no worries; then maybe we could continue this process
directly on this PR
<#49> that I
previously marked as duplicate.
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<#12 (comment)>,
or mute the thread
<https://github.com/notifications/unsubscribe-auth/AAs0YN2LO7xN_9w5k4MZbduTPK4mSsR0ks5ug_8ugaJpZM4Wps0_>
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@tigerneil 递归->循环 没修改,按中文wiki的翻译,一个是时间递归(recurrent nn),一个是结构递归(recursive nn) |
working in progress