搜索资源列表
EMdemo
- n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic
Autoencoder_Code
- 用于利用GPU训练DBN网络，包括pretraing和finetune,其中包含的rbm代码非常有用-for using GPU to train DBN network，including pretraing and finetune,rbm code is useful
dbn
- DBN源码，深度学习领域的适合初学者学习的代码之一，基础必备的内容。-DBN source, depth of learning areas for beginners to learn the code, one basic essential content.
DeepLearnToolbox-master
- 深度学习（Deep learning）matlab工具包-`NN/` - A library for Feedforward Backpropagation Neural Networks `CNN/` - A library for Convolutional Neural Networks `DBN/` - A library for Deep Belief Networks `SAE/` - A library for Stacked Auto-
RBM
- 用C语言实现的深度学习的RBM(受限玻尔兹曼机)，是组成DBN网络的基本结构-Using C language to achieve deep learning of RBM
Deep_Belief_Nets
- 深度学习中的深信度网（DBN）的C语言的简单实现-Convinced degree of deep learning network (DBN) to achieve a simple C language
DBN-code
- 深度学习DBN网络，使用MATLAB，有详细的注释-DBN deep learning network, using MATLAB, there are detailed notes
DBN
- 里面有DBN的源码，可以根据需要修改相应的参数-Deep Belief Network
DBN
- 深度学习研究中的一种，用限制玻尔兹曼机（DBN）的方法来实现！用Matlab的方法。-it s a code in DBN with matlab
DBN
- 基于python的DBN实现，可以用来数据降维。(Implementation of DBN based on Python)
DBN-master
- 动态贝叶斯网络（Dynamic Bayesian Network, DBN），是一个随着毗邻时间步骤把不同变量联系起来的贝叶斯网络。这通常被叫做“两个时间片”的贝叶斯网络，因为DBN在任意时间点T，变量的值可以从内在的回归量和直接先验值（time T-1）计算。(Dynamic Bayesian Network (DBN) is a Bayesian network that links different variables with adjacency time steps. This is
DBN代码
- DBN原理与实现代码，基于MATLAB的代码实现(DBN principle and the implementation code, code implementation based on MATLAB)
DeepLearnToolbox-master
- 深度学习神经网络matlab最好用的工具箱，包含CNN、DBN、RBM等。代码简单明了非常适合初学者(Deep learning neural network matlab is the best tool kit, including CNN, DBN, RBM and so on. The code is simple and clear for beginners)
MINIST
- mnist库上 应用DBN网络 DBN使用RBM结构，半监督网络，逐层训练(Application on the DBN network)
LBP-DBN人脸识别matlab代码
- 深度学习的识别算法，经lbp优化后，效率很高(The recognition algorithm of deep learning is highly efficient after being optimized by LBP.)
dbn_tf-master
- 利用深度置信网络实现对mnist数据集的分类(sort out the set of mnist with DBN)
dbn-master
- 深度置信网络DBN，深度学习，神经网络，分类(deep belief network(DBN), deep learning, neural network, classification)
DBN
- 深度信念网络，神经网络的一种。既可以用于非监督学习，类似于一个自编码机；也可以用于监督学习，作为分类器来使用。(Deep belief network, a kind of neural network. It can be used for unsupervised learning, similar to a self-coding machine, or supervised learning, as a classifier.)
DBN-ELM-master
- DBN-ELM应用于软测量，可以预测精度，并且可以和其它软测量模型进行对比。(Application of DBN-ELM in Soft Sensing,it can predict the accuracy and compare with other soft sensor models.)
DBN
- 深度信念网络程序详解，可以实现数据回归和分类，自动提取关键成分。(Detailed explanation of deep belief network program can realize data regression and classification, and automatically extract key components.)