文件名称：RBM相关论文，起源到综述
文件大小：39.41MB
文件格式：RAR
更新时间：2021-04-03 08:01:57
白皮书
本资源包括RBM相关的论文，针对RBM的起源和发展做出了综述
【文件预览】：
RBM相关论文 起源到综述
----1994-Yoav Freund-Unsupervised learning of distributions on binary vectors using two layer networks.pdf(444KB)
----2006-Hinton-autoencoder and RBM-Reducing the Dimensionality of Data with Neural Networks-.pdf(361KB)
----2009-Hinton-Deep Boltzmann Machines.pdf(383KB)
----2010-Hinton-A Practical Guide to Training restricted Boltzmann machines.pdf(193KB)
----2006-Bengio-Greedy Layer-Wise Training of Deep Networks.pdf(191KB)
----2009-Hinton-DBN.ppt(5.32MB)
----2002-Mayraz and Hinton-training RBM-Recognizing Handwritten Digits Using Hierarchical Products of Experts.pdf(749KB)
----1986-Paul Smolensky-RBM origin-Information processing in dynamical systems Foundations of harmony theory.pdf(8.56MB)
----Restricted Boltzmann Machines-ppt.pdf(1.35MB)
----Programming Assignment Sparse Autoencoder-Andrew Ng.pdf(272KB)
----1982-HopField-HNN origin-Neural networks and physical system with emergent collective computational abilities.pdf(1.13MB)
----1986-BP origin -Learning representations by back-propagating errors.pdf(475KB)
----2008-Tieleman-PCD-Training Restricted Boltzmann Machines using Approximations to the Likelihood Gradient.pdf(302KB)
----2014-Training Restricted Boltzmann Machines An Introduction.pdf(920KB)
----1984-Stochastic Relaxation, Gibbs Distribution, and the Bayesian Restoration of Images.pdf(4.26MB)
----1983-Hinton-BM-Analyzing Cooperative Computation.pdf(574KB)
----2009-Geometry of the Restricted Boltzmann Machine.pdf(330KB)
----2010-A tutorial on Stachastic Approximation Algorithms for Training Restricted Boltzmann Machines and Deep Belief Nets.pdf(616KB)
----1985-Hinton-BM training origin-A Learning Algorithm for Boltzmann Machines.pdf(1.8MB)
----1998-Yann LeCun-Gradient-Based Learning Applied to Document Recognition---Convolutional net origin.pdf(933KB)
----2009-learning deep architectures for AI.pdf(1.08MB)
----1984-Boltzmann Machines Constraint Satisfaction Networks that Learn.pdf(2.81MB)
----2014-Deep Learning in Neural Networks-An Overview.pdf(1.11MB)
----2006-Hinton-A Fast Learning Algorithm for Deep Belief Nets.pdf(769KB)
----1999-Hinton-training PoE and RBM-Products of Experts.pdf(238KB)
----2015-RNN-An Empirical Exploration of Recurrent Network Architectures.pdf(212KB)
----1984-HopField-HNN-Neurons with graded response have collective computational properties like those of two-state nerons.pdf(976KB)
----2012-Hinton-An Efficient Learning Procedure for Deep Boltzmann machines.pdf(1.33MB)
----2002-Hinton-training PoE and RBM-Training Products of Experts by Minimizing Contrastive Divergence .pdf(1004KB)
----2006-Efficient Learning of Sparse Representations.pdf(171KB)
----2015-Nature-Deep learning-Yann LeCun, Yoshua Bengio, Geoffrey Hinton.pdf(1.99MB)
----2007-Hinton-Boltzmann Machines.pdf(68KB)
----2011new-Andrew Ng-sparseAutoencoder.pdf(431KB)
----1995-Hinton-The wake-sleep algorithm for unsupervised neural networks.pdf(1MB)
----1981-Hinton-parallel models of associative memory and implementing semantic networks in parallel hardware.pdf(2.02MB)
----1986-Hinton-Learning and relearning in Boltzmann machines.pdf(1.57MB)
----2012-An Introduction to Restricted Boltzmann Machines.pdf(552KB)
----2014-Parallel Distributed Processing at 25th Further Exploration in the Microstructure of Cognition.pdf(719KB)
----1983-Hinton-BM origin-optimal perceptual inference.pdf(654KB)