RNN网络结构Elman神经网络是最早的循环神经网络,由Elman于1990年提出,又称为SRN(Simple Recurrent Network, 简单循环网络)。RNN考虑了时序信息,当前时刻...当前时刻的误差传播不到比较久远的时刻,意味着RNN没有学到长时依赖关系。 参考 [1]FindingStructureinTime.JEFFREYL.ELMAN.1990. [2 ...
While great new papers abound, finding the most meaningful ones requires a fair amount of digging. In contrast, past gems are relatively easy to identify (Finding Structure in Timehas nearly 7000 citations) and often contain insights that are relevant today. Of note, one thing that stands out...
There exist other searching schemes under the trail-and-error spirit, for example, the in-silico evolution10,11,12, in which mutation and selection are repeatedly performed on the network structure to optimize a target fitness function. However, the applicability of the method is very much ...
structure-aware: the extraction is realized on the relevant textual zones, skipping for instance figure content, headnotes, formulas, bibliographical reference section, etc. and exploiting the knowledge of inline reference markers, section and paragraph boundaries, etc. for the textual zones robust: te...
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks 方法介绍 目的: 探索稀疏性和预测精度之间的关系 能不能在稀疏性的规则中找到一个平衡点,这个点是如何提升硬件实现效率的 为了探索上面的问题,文章设置了几种不同的剪枝粒度等级,在前人的基础上进行对比实验,探索剪枝粒度和预测精度之间的...
Alternatively, a 2D binary search can be performed using a quadtree data structure [3, 4]. The parametrization of the lines by y = kx + d can be numerically problematic if very large values of the slope k are possible. A more robust parametrization of the line has the form x...
For example, adding 30% H2 to a habitable planet's atmosphere located at ~1.7 AU increases its atmospheric scale height by over 60% (assuming a similar temperature structure) [132]. Some planets that are outside the classical HZ, like TRAPPIST-1h, are located inside the volcanic hydrogen ...