Apr 13, 2017 07:27
7 yrs ago
English term
China
it is now
English to Chinese
Tech/Engineering
IT (Information Technology)
AI
There has been much discussion about the “black box” problem of neural networks. Sophisticated models can perform well on predictive workloads, but when it comes to backtracking how the system came to its end result, there is no clear way to understand what went right or wrong—or how the model turned on itself to arrive a conclusion.
For old-school machine learning models, this was not quite the problem it is now with non-linear, hidden data structures and countless parameters.
对于老式机器学习模型而言，这问题不大；但是对于如今的非线性的隐匿式数据结构和无数参数而言，这却是个问题。
不知这第二段处理是否对头？
For old-school machine learning models, this was not quite the problem it is now with non-linear, hidden data structures and countless parameters.
对于老式机器学习模型而言，这问题不大；但是对于如今的非线性的隐匿式数据结构和无数参数而言，这却是个问题。
不知这第二段处理是否对头？
Proposed translations
42 mins
Selected
目前
For old-school machine learning models, this was not quite the problem it is now with non-linear, hidden data structures and countless parameters.
‘对于老式机器学习模型而言，这样问题倒不大；相比之下，对目前使用的非线性隐匿式数据结构和数不清的参数来说，这却成了问题。’
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Note added at 1 hr (2017-04-13 09:04:35 GMT)
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“隐匿式”改为“隐含”
‘对于老式机器学习模型而言，这样问题倒不大；相比之下，对目前使用的非线性隐匿式数据结构和数不清的参数来说，这却成了问题。’
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Note added at 1 hr (2017-04-13 09:04:35 GMT)
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“隐匿式”改为“隐含”
Peer comment(s):
| neutral |
Panfeng
: 感觉”隐匿式数据结构“中的隐匿式翻得有些问题，你确定有”隐匿式“数据结构这个词么？
39 mins
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谢谢提醒，查了下，hidden 通常用“隐含”
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4 KudoZ points awarded for this answer.
Comment: "谢谢！"
+1
17 hrs
FYI
首先，the problem it is now 应为the problem as it is now 之误。
其次，this was not quite the problem it is now 两者都是指对于老式机器学习模型而言，同样的模型，过去没有问题，现在出现了问题。老的模型的新问题，新问题是因着non-linear, hidden data structures and countless parameters 而产生的。
对于老式机器学习模型而言，这在过去并不是问题，而现在却成了问题，因为现在使用了非线性隐匿式数据结构和数不清的参数。
对于老式机器学习模型而言，这在过去并不是问题，而现在随着非线性隐匿式数据结构和数不清的参数的使用，它就成了问题。
只有这样才能让读者明白，否则，“非线性的隐匿式数据结构和无数参数”是相对于什么而言的，它与句子其他部分的关系是怎么回事，读者都会产生疑问。
其次，this was not quite the problem it is now 两者都是指对于老式机器学习模型而言，同样的模型，过去没有问题，现在出现了问题。老的模型的新问题，新问题是因着non-linear, hidden data structures and countless parameters 而产生的。
对于老式机器学习模型而言，这在过去并不是问题，而现在却成了问题，因为现在使用了非线性隐匿式数据结构和数不清的参数。
对于老式机器学习模型而言，这在过去并不是问题，而现在随着非线性隐匿式数据结构和数不清的参数的使用，它就成了问题。
只有这样才能让读者明白，否则，“非线性的隐匿式数据结构和无数参数”是相对于什么而言的，它与句子其他部分的关系是怎么回事，读者都会产生疑问。
Discussion
所以原来的两个句子是
1. For...., this was not the problem.
2. It is the problem with....
For old-school machine learning models, this was not a big problem but now it is a problem with non-linear, hidden data structures and countless parameters.
从句中没看出以前就一点问题都没有啊。希望指教！
我倒觉得应该是：
For old-school machine learning models, this was not quite the problem; it is now with non-linear, hidden data structures and countless parameters.
The bottom line is that it was not a problem in the past, but it is now. If you say "这问题不大," that means there was such a problem or similar problems in the past.