Federal employees filed slightly fewer discrimination complaints against their agencies in 2011. However, employees who pursue their challenges through additional steps are waiting nearly a year for hearing decisions and more than a year for appeal decisions, according to data released Monday. Read full article >>
BING NEWS:
- UIC urges speedier ruling in leader’s constitutional challenge, alleges ‘glaring bias’
000 days, nearly three years for his case to be heard. The Chief Justice (Bryan Sykes) needs to explain this glaring bias,” the UIC said.
11/20/2024 - 11:00 am | View Link - Building Trust In AI: Overcoming Bias, Privacy And Transparency Challenges
As AI becomes more integrated into society, leaders must address key concerns around bias, data privacy and transparency.
11/18/2024 - 11:00 pm | View Link - More
- 知乎，让每一次点击都充满意义 —— 欢迎来到知乎，发现问题背后的世界。
知乎是一个问答社区，用户可以在这里发现问题背后的世界。
09/13/2024 - 2:23 pm | View Website - 为什么很多开源代码网络卷积bias都设置成了false？
在使用诸如batch normalization等标准化层后，因为标准化层的公式输出值等于 gamma * normalized (x) + bias 在这里已经有bias了，那么卷积层就可以不再使用bias。. 可参考. BatchNorm2d - PyTorch 1.10.0 documentation. Conv2d - PyTorch 1.10.0 documentation. 编辑于 2021-11-11 11:24. 比如caffe。. mmlab ...
09/7/2024 - 8:13 pm | View Website - 机器学习中的 Bias（偏差）、Error（误差）、Variance（方差）有什么区别和联系？
首先明确一点，Bias和Variance是针对Generalization（一般化，泛化）来说的。. 在机器学习中，我们用训练数据集去训练（学习）一个model（模型），通常的做法是定义一个Loss function（误差函数），通过将这个Loss（或者叫error）的最小化过程，来提高模型的性能（performance）。
09/5/2024 - 9:56 pm | View Website - 为什么有偏置b的卷积层不适合和batch normalization层一起出现？
6 个回答. 在bn归一化时候偏置b就被减掉了，所以bn之前的卷积所带的b最终是没有用的。. 正真发挥作用的偏置项是bn自己的偏置。. 谢邀。. 一个合格的BN应该自带bias。. BN会减均值，BN前面加了bias并没有什么用。. 有时候看代码的时候，会注意到当使用了BN时，Conv ...
09/5/2024 - 8:16 pm | View Website - 英文中prejudice和bias的区别?
Bias：Bias is a tendency to prefer one person or thing to another, and to favour that person or thing. 可见 bias 所表示的意思是“偏爱”，其本质是一种喜好，而非厌恶，所以没有偏见的意思。
09/5/2024 - 7:26 pm | View Website - More
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