搜索资源列表
BNT_SLP.tar
- 动态贝叶斯网络结构学习算法，用来检验基于BOA的DBN结构寻优体系的合理性与可行性。环境matlab 6.1以上-Dynamic Bayesian network structure learning algorithm, the DBN used to test the structure-based optimization BOA system is reasonable and feasible. Environmental m
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
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
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
rbmtrain
- 深度学习领域，dbn网络的训练代码，已经证实能够正常使用，用于matlab仿真专用-the dbn net code in deep learning
DBN
- 深度信念网络（DBN）的相关程序，是新手入门相当好的参照-Deep belief network (DBN) of the relevant procedures, is a very good reference for beginners
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
DBN
- 深度学习网络DBN代码，可以直接运行，如果缺少数据库的话可自行建一个数据库进行分类。(This is a code for DBN in artificial intelligence)
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)
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-java
- 深度信念网络工具箱，用JAVA写的，包含了受限波尔兹曼机的程序(deep belief network toolbox, including Restricted Boltzmann Machines, java edition)
DBN
- 深度信念神经网络应用程序，部分数据及仿真例程(Deep belief neural network application, simulation routine)
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.)
Deep learning_CNN DBN RBM
- 运用深度学习模型实现图像的分类，主要包括卷积神经网络CNN和深信度网络DBN(Classification of images using deep learning model includes convolutional neural network CNN and belief network DBN.)
DBN
- 有数据，能运行，亲测可以运行，下面是凑字数，用过都说好(Able to run DBN program)
深度机器学习DBN
- 深度神经网络算法，可直接用用于模型训练，进行机器学习。算法可靠。(The deep neural network algorithm can be directly used for model training and machine learning. The algorithm is reliable.)
DBN
- 根据历史电网负荷数据，用深度置信网络预测未来负荷大小(Forecast future load size based on historical grid load data)
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.)
DBN
- 基于Tensorflow的典型深度学习模型-深度置信网络预测程序，方便拓展，测试文件在test文件夹下(The typical deep learning model based on tensorflow deep confidence network prediction program is easy to expand, with case data attached, and the test file is in the t
DBN
- DBN算法-机器学习-电力系统预测 亲自编写可以使用(DBN algorithm machine learning power system prediction)