By the end of 2010, Hasegawa made a new encoder available named JSF*ck which also used only the minimum six characters.
克拉克引用卡格斯所说的话:“通常情况下,我们的大脑只使用了10%~20%。
Clark quotes Karges as saying:“We normally use only 10 to 20 percent of our minds.
最后得到一台简单的、没有巨大噪音的机器,而且只使用了两根线缆:交流电源线和HDMI。
The result is a simple machine that is not overly loud and uses only two cables- AC power and HDMI.
输入用户名和密码他用了15秒,而且他只使用了一个手指。
It took him 15 seconds to type his username and password, and he used only one finger.
一直以来,人们相信这样的说法:我们只使用了大脑的10%。
One often hears the claim that we use only about 10 percent of our brain.
此命名系统中的一个例外是rd-20090515,只使用了完整的year-month-day格式。
One exception to this system is rd-20090515, which just uses the full date in year-month-day format.
图书馆是他的记忆,他只使用了它的一小部分。
The Library is his memory, and he only uses small parts of it at once.
估计他们只使用了收集或生成的数据的一半(51%)。
Respondents estimate that their organization only uses around half(51%) of the data that it collects or generates.
与其他排名不同,SCMJournalListTM只使用了高校在供应链管理顶级期刊上的产出。
Unlike other rankings, SCM Journal listTM only uses the output of universities in top journals of supply chain management.
客人原本只使用了8只电容,即CX到CX8,也就是四级倍压。
Guests originally only used 8 capacitors, that is, CX8 to CX, which is four times the pressure.
对于这项研究,我们只使用了31个高清相机,但仍然能构建一个庞大的数据集。
Thus for this study, we used just 31 high-definition cameras, but still were able to build a massive data set.”.
最后,当前研究只使用了标准前馈架构,这样就无法使用任何之前技能活跃时收集到的感官信息。
Finally, current research only used standard feedforward architectures, which could not use any sensory information gathered while the previous skill was active.
大多数人只使用了他们电脑性能的一小部分。
Most people only use a small percentage of the capability of their computer software.
我们只使用了大脑的10%这种想法肯定是错误的。
The idea that we only use 10% of our brain is patently false.
为什么你可能听说过人类只使用了大脑的10%,为什么这是错的.
You may have heard that humans only use ten percent of their brain, and that….
由于我们的工作比他的工作简单得多,所以我们只使用了3个卷积图层并在它们之间保持一个渐变。
Since our job is much simpler that his work, so we only used 3 convolutional layers and maintained a gradient between each of them.
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