Exact dynamics for fully connected nonlinear networks
نویسندگان
چکیده
منابع مشابه
Optimal Broadcast for Fully Connected Networks
We give an optimal broadcast algorithm for fully connected, single-ported, bidirectional networks under a linear communication cost model. For any number of processors p the number of communication rounds required to broadcast N blocks of data is dlog pe− 1 +N . For data of size m, assuming that sending and receiving m data units takes time α + βm, the best running time that can be achieved is ...
متن کاملFully Connected Deep Structured Networks
Convolutional neural networks with many layers have recently been shown to achieve excellent results on many high-level tasks such as image classification, object detection and more recently also semantic segmentation. Particularly for semantic segmentation, a two-stage procedure is often employed. Hereby, convolutional networks are trained to provide good local pixel-wise features for the seco...
متن کاملUniversality of Fully-Connected Recurrent Neural Networks
It is shown from the universality of multi-layer neural networks that any discretetime or continuous-time dynamical system can be approximated by discrete-time or continuous-time recurrent neural networks, respectively.
متن کاملGreenberger-Horne-Zeilinger state protocols for fully connected qubit networks
We generalize the recently proposed Greenberger-Horne-Zeilinger tripartite protocol #A. Galiautdinov and J. M. Martinis, Phys. Rev. A 78, 010305!R" !2008"$ to fully connected networks of weakly coupled qubits interacting by way of anisotropic Heisenberg exchange g!XX+YY"+ g̃ZZ. Our model differs from the more familiar Ising-Heisenberg chain in that here every qubit interacts with every other qub...
متن کاملAutonomous learning algorithm for fully connected recurrent networks
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algorithm has been developed. The originality of this method consists of the gradient based adaptation of the learning rate and time parameter of the neurons using a small perturbations method. Starting from zero initial con...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Physics Letters A
سال: 2011
ISSN: 0375-9601
DOI: 10.1016/j.physleta.2011.01.049