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RSS订阅转载 分阶段训练 Stagewise Training 简介
参考论文:2015:Stage-wise training: An improved feature learning strategy for deep models 2018Why does stagewise training accelerate convergence of testing error over SGDDeep neural networks currently stand at the state of the art for many machine learni..
2020-11-25 20:41:30
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转载 计算机视觉中的注意力机制总结
一、背景最早图像领域，后面应用到NLP领域人类视觉注意力机制，扫描全局图像，获得重点关注区域，投入更多经历，抑制其它无用信息，提高视觉信息处理的效率与准确性。在深度神经网络的结构设计中，attention所要分配的资源基本上就是权重了。视觉注意力分为几种，核心思想是基于原有的数据找到其之间的关联性，然后突出其某些重要特征，有通道注意力，像素注意力，多阶注意力等，也有把NLP中的自注意力引入。二、注意力定义2.1 序列编码第一个思路是RNN层递归RNN结构本身比..
2020-11-24 15:35:33
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Principles+and+Practices+of+Interconnection+Networks.pdf
principles and practices of interconnection networks One of the greatest challenges faced by designers of digital systems is optimizing the communication and interconnection between system components. Interconnection networks offer an attractive and economical solution to this communication crisis and are fast becoming pervasive in digital systems. Current trends suggest that this communication bottleneck will be even more problematic when designing future generations of machines. Consequently, the anatomy of an interconnection network router and science of interconnection network design will only grow in importance in the coming years.
2019-05-09
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