无论多么困难，他从未放弃过学习。
在神经网络的训练当中存在“过学习”现象以及参数难以选择的困难。
There exist over learning and the difficulties of selecting suitable parameters when training neural network.
我的心从未停止跳动，我从未停止过学习，也从未停止过不断尝试、哇！
My heart never stopped pounding, my brain never stopped learning and I never stopped trying... WOW!
一些智商高的的孩子从来没成为过学习尖子生，然而不那么有天赋的孩子却经常出色。
Some kids with high IQs don't ever become academic superstars, while less gifted kids often shine.
没有人停止过学习，所以为什么你不持续不停地学习，不要仅仅只在学校里才学习。
No one ever stop learning so why don't you just keep learning from everything instead of learning only at school.
于是，这些传统方法常常被模型选择与过学习问题、非线性和维数灾难问题、局部极小点问题等困扰。
Therefore, the traditional methods are inclined to bring many problems like model-choosing, over-fitting, non-linear, disaster of dimensionality, local minimum.
对于这样一个高维数、非线性的小样本问题，许多传统的模式识别方法都容易出现过学习或欠学习现象。
When solving this small sample problem with high dimension and nonlinear, many traditional pattern recognition methods will tend to occur overfitting phenomenon.
与神经网络等其它学习方法相比，它的结构通过自动优化的方法计算出来，并且避免了局部最小点、过学习等缺陷。
It has many advantages compared to Article Neural Networks or other learning methods, for example the automatic structure selecting, overcoming the local minimum and over-fitting etc.
这种方法对高斯噪声和星座图由于信号初始相位而引入的旋转具有良好的稳健性，并避免了神经网络中的过学习和局部极小点等缺陷。
This method is robust to Gaussian noise and constellation rotation due to initial phase of signal and avoids overfitting and local minimum in neural networks.
我没有学习过艺术，但不知何故，我还是成功地走了这么远。
I didn't study art, yet somehow I've still managed to blag my way this far.
他说：“人们需要一生的时间来学习如何过美好的生活，比如爱每个人，待人友善，对吗？”
He said, "People need a lifetime to learn how to live a good life like loving everybody and being nice, right?"
伊莎多拉·邓肯小时候曾短时间学习过芭蕾舞，但她很快就发展出了自己独特的风格，她称之为自由舞蹈。
Isadora Duncan did study ballet briefly as a child, but she quickly developed her own unique style, which she called free dance.
掌握一门像英语这样的外语需要勤奋学习，因此你再怎么努力也不为过。
To master a foreign language like English requires hard work, so you can't study too hard.
我在电视上学习过做饭。
它介绍了Scratch，这种在我们学习过的环境中使用的编程语言，同时也是一些我们将贯穿整个课程的基础知识。
It introduces Scratch, the programming language in an environment we looked at, but also some of the fundamentals that we'll lace throughout the course.
我从未见过她表达过一句不满或夸耀她在学习上的巨大成就。
I have never seen her say a word of displeasure or boast (夸耀) about her great success in her study.
威廉·哈斯蒂曾经说过，历史会告诉我们过去的错误，我们可以从中学习避免重复犯错。
William Hastie once suggested that history informs us of past mistakes from which we can learn without repeating them.
你在那里学习时，将不得不面对日常生活中从未经历过的挑战，但经过一年的国外生活，你将会以新的面貌、新的自我回归。
When you study there, you will have to face challenges in everyday life that you have never experienced before, but after a year abroad, you will return with a new look at life—and at yourself.
数据挖掘围绕此数据进行，当然所有我们已经学习过的这些算法也都是围绕此数据的。
Data mining revolves around the data and, of course, all the algorithms that we've learned about have revolved around the data.
当你第一次开始跑步时，你可能按照一个跑步初学者时间表学习过如何跑步并且帮助你知道如何保持动力。
When you first started running, you may have followed a beginner training schedule to learn how to run and help you stay motivated.
我们曾学习过一种新的语言，而让我们有一种新的思维方式。
We've learned a new language that exposed us to a new way of thinking.
因为现在毕业的大学生从未学习过如何理财，所以与以往的学生相比背负了更沉重的负担。
College students are graduating with greater debt than ever before, yet we haven't learned how to manage our money.
一个原因可能在于我们中的大多数人从来没有真正学习过有效沟通所需要的技巧。
One reason may be that many of us never really learned the skills necessary to communicate effectively.
乐天北京的员工被派往韩国学习过其经营流程，营销方法和服务方式。
Lotte's Beijing staff have been sent to Seoul to learn about its procedures, marketing and service.
在三省的化学联考中取得优秀的成绩，其实其中的很多内容我都没有学习过。
Place first in a three province wide chemistry test. Of which I didn’t study or was even taught much of the material beforehand.
正如马克吐温曾说过“学习幽默就如解剖青蛙-你可以知道很多，但最终你得到的是一只死蛙。”
As Mark Twain once said, "Studying humor is like dissecting a frog -- you may know a lot but you end up with a dead frog."
正如马克吐温曾说过“学习幽默就如解剖青蛙-你可以知道很多，但最终你得到的是一只死蛙。”
As Mark Twain once said, "Studying humor is like dissecting a frog -- you may know a lot but you end up with a dead frog."
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