均衡的网络的计算局限The computational limitations of balanced networks |
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课程网址: | http://videolectures.net/eccs08_vreeswijk_tclobn/ |
主讲教师: | Carl van Vreeswijk |
开课单位: | 巴黎理工大学 |
开课时间: | 2008-10-17 |
课程语种: | 英语 |
中文简介: | 神经网络中的计算关键依赖于非线性。在平衡状态下的神经网络中, 神经元传递函数的非线性在功能上变得不重要。这种非线性的消失极大地限制了平衡网络的计算能力。我将在联想记忆的平衡网络的例子中展示如何试图规避平衡网络的这一限制, 并讨论这些解决方案中的问题。 |
课程简介: | Computation in neural networks relies crucially on non-linearity. In neural networks in the balanced state the non-linearity of the neuronal transfer function becomes functionally unimportant. The disappearance of this non- linearity strongly limits the computational power of balanced networks. I will show in examples of balanced networks for associative memory how one can try to circumvent this limitation of balanced networks and discuss the problems with these solutions. |
关 键 词: | 计算机科学; 网络分析; 计算局限 |
课程来源: | 视频讲座网 |
最后编审: | 2020-07-06:wuyq |
阅读次数: | 54 |