Fast Feedforward Networks 28 Aug 2023 · Peter Belcak, Roger Wattenhofer · Edit social preview We break the linear link between the layer size and its inference cost by introducing the fast feedforward (FFF) architecture, a log-time alternative to feedforward networks. We demonstrate that FFFs...
In this paper, feedforward neural networks are presented that have nonlinear weight functions based on look--up tables, that are specially smoothed in a regularization called the diffusion. The idea of such a type of networks is based on the hypothesis that the greater number of adaptive ...
In order to improve the training speed of multilayer feedforward neural networks (MLFNN), we propose and explore two new fast backpropagation (BP) algorithms obtained: (1) by changing the error functions, in case using the exponent attenuation (or bell impulse) function and the Fourier kernel...
In this paper, we develop an online sequential learning algorithm for single hidden layer feedforward networks (SLFNs) with additive or radial basis function (RBF) hidden nodes in a unified framework. The algorithm is referred to as online sequential extreme learning machine (OS-ELM) and can le...
Because the error backpropagation learning algorithm is based on the steepest descent technique to train feedforward neural networks, its rate of convergence is slow due to the problem of local minima. We propose a new learning method for pattern classification using genetic algorithm and optimizing ...
S. Ge, "Fast construction of single hidden layer feed- forward networks," in Handbook of Natural Computing, G. Rozenberg, T. H. W. Ba¨ck, and J. N. Kok, Eds. Springer, to be published, 2010.Li K, Huang G-B, Ge SS (2010) Fast construction of single hidden layer feedforward ...
A fast learning algorithm for training feed forwardneural networks. Goely A K,Saxenax S,Bhanotz S. International Journal of Systems Science . 2006Ashok Kumar Goel,Suresh C Saxenax, Surekha Bha-not. 2006 A fast learning algorithm for training feedforward neural networks [ J ]. International ...
The paper builds onA Neural Algorithm of Artistic Styleby Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge by training feedforward neural networks that apply artistic styles to images. After training, our feedforward networks can stylize imageshundreds of times fasterthan the optimization-base...
An automatic gain control circuit with feedforward and feedback control to cope with fast fading variations and misadjustments in the circuit is proposed. The authors show experimentally that the suppression performance of the proposed structure is superior to conventional schemes in fast Rayleigh fading...
FeedForwardNetwork network = FeedForwardNetwork.loadFromTextFile( new File("dnn.txt"), new File("feature_transform") ); First file represents the network, second represents the input transformation. Second file contains two vectors. Each input vector is transformed by adding the first vector and...