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Chapter12 about deeplearningbook-chinese HOT 8 CLOSED

exacity avatar exacity commented on May 8, 2024
Chapter12

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Comments (8)

zdx3578 avatar zdx3578 commented on May 8, 2024

在这种情 况下,系统作为一个整体显然具有高容量,因为它的一些个体成员。还可以进行级 联,其中每个单独的模型具有低容量,但是由于许多小型模型的组合,整个系统具 有高容量;

标点符号是否正确,中间的句号对吗?读着不连贯。

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futianfan avatar futianfan commented on May 8, 2024

@zdx3578 确实不连贯,已经更正为“在这种情 况下,系统作为一个整体显然具有高容量,因为它的一些个体成员是高容量的。还可以进行级 联,其中每个单独的模型具有低容量,但是由于许多小型模型的组合,整个系统具 有高容量;”。 谢谢。

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zdx3578 avatar zdx3578 commented on May 8, 2024

图12.2 大小比例要调整一下吧?

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zdx3578 avatar zdx3578 commented on May 8, 2024

Another important push, still ongoing, has been towards end-to-end deep learning speech recognition systems that completely remove the HMM.

翻译:

另一个重要的至今仍然活跃的推动,是完全抛弃了HMM的端到端的 (end-to-
end)深度学习语音识别系统。

翻译有问题吧?抛弃HMM 转向了端到端的深度学习模型吧??

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futianfan avatar futianfan commented on May 8, 2024

@zdx3578
你的意思是否是改成“另一个重要的至今仍然活跃的推动,是转向研究完全抛弃了HMM的端到端的 (end-to-
end)深度学习语音识别系统。”? 但是我觉得一个意思,原来的翻译更通顺一些。不过还是谢谢。

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SwordYork avatar SwordYork commented on May 8, 2024

完全抛弃HMM并转向研究端到端的 (end-to-end)深度学习语音识别系统是至今仍然活跃的另一个重要推动。

中文感觉后置比较好啊。

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zdx3578 avatar zdx3578 commented on May 8, 2024

原来的翻译是不是有歧义,抛弃(HMM的端到端的 (end-to-end)深度学习语音识别系统。)

容易理解为(HMM的端到端)

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SwordYork avatar SwordYork commented on May 8, 2024

@zdx3578 @corenel 多谢你们的建议!12章先告一段落,网页的批注我都保存在仓库里了。

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