About this article Cite this article Yuste, R. From the neuron doctrine to neural networks. Nat Rev Neurosci 16, 487–497 (2015). https://doi.org/10.1038/nrn3962 Download citation Published08 July 2015 Issue DateAugust 2015 DOIhttps://doi.org/10.1038/nrn3962 Subjects Electrophysiology Network...
Article Google Scholar De Jong, K. A. Evolutionary Computation: A Unified Perspective (MIT Press, Cambridge, 2002). Google Scholar Gruau, F. Automatic definition of modular neural networks. Adapt. Behav. 3, 151–183 (1994). Article Google Scholar Yao, X. A review of evolutionary artific...
25 May 2018Please cite this article as: Jaehyun Kim, Heesu Kim, Subin Huh, Jinho Lee, Kiyoung Choi, Deep NeuralNetworks with Weighted Spikes, Neurocomputing (2018), doi: 10.1016/j.neucom.2018.05.087This is a PDF f i le of an unedited manuscript that has been accepted for publication....
Reducing the dimensionality of data with neural networks.pdfof,帮助,the,Data,with,data,The,With 文档格式: .pdf 文档大小: 416.37K 文档页数: 5页 顶/踩数: 0/0 收藏人数: 0 评论次数: 0 文档热度: 文档分类: 经济/贸易/财会--财政/国家财政 ...
You might also see neural networks referred to by names like connectionist machines (the field is also called connectionism), parallel distributed processors (PDP), thinking machines, and so on—but in this article we're going to use the term "neural network" throughout and always use it to...
Graph Neural Networks: A Review of Methods and Applications 下载链接:https://arxiv.org/pdf/1812.08434.pdf Application Applications of graph neural networks 语义分割语义分割是图像理解的关键步骤。这里的任务是为图像中的每个像素分配唯一的标签(或类别),这可以被视为密集的分类问题。然而,图像中的区域通常不...
Reducing the Dimensionality of Data with Neural Networks G. E. Hinton, et al. Science 313, 504 (2006); DOI: 10.1126/science.1127647 The following resources related to this article are available online at (this information is current as of October 6, 2008 ): Updated information and services,...
Reducing the Dimensionality of Data with Neural Networks G. E. Hinton, et al. Science 313, 504 (2006); DOI: 10.1126/science.1127647 The following resources related to this article are available online at (this information is current as of October 6, 2008 ): Updated information and services,...
Another problem solved by unsupervised learning algorithms is data dimensionality reduction. Remember, previous article we solved a similar problem using convolutional networks. However, in supervised learning, we were looking for specific features which are characteristic of this specific task. In contrast...
Unlike many neural networks working till they receive a response in a certain number of tacts, Hopfield networks work till they reach the equilibrium state that is when the next state of a network is exactly the same as the previous one. In this case the initial state is an input pattern ...