搜索资源列表
bayesian-belief-networks-master
- 方便进行贝叶斯网络的学习与推理,提供了多种方便好用的API(learning and reasoning based on Bayesian network)
DeepLearnToolbox-master
- 这是用于深度学习的Matlab工具箱 深度学习是机器学习的一个新的子领域，专注于学习深层次的数据模型。 它的灵感来自于人类大脑的明显的深层次（分层的）层次结构。 目录包括`NN /` - 一个用于前馈反向传播神经网络的库，`CNN /` - 卷积神经网络库，`SAE /` - 堆叠式自动编码器库，`CAE /` - 卷积自动编码器库，`util /` - 库使用的功能函数，`data /` - 实例使用的数据，`tests /`
LDPC
- ldpc编译码译码算法包括置信传播和比特翻转还有对数域的置信传播译码算法(LDPC Encoding and decoding algorithms include belief propagation and bit flipping, as well as the log domain belief propagation decoding algorithm)
deeplearningbook-chinese-0.5-beta
- 卷积神经网络、循环神经网络、递归神经网络、深度信念网络、深度堆叠网络、LSTM长短时记忆(Convolution neural network, circulating neural network, recursive neural network, deep belief network, deep stack network, LSTM length memory)
spkstr
- decision-making is regarded as the cognitive process resulting in the selection of a belief or a course of action among several alternative possibilities. Every decision-making process produces a final choice, which may
SparkMLlibDeepLearn-master
- 深度信念网络，非常好的代码，有具体的事例(Deep belief network, very good code, there are specific examples)
flashcookiesview
- Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old. Richard McClintock, a Latin professor at Hampden-Sydney
xdoclet-1.2.1.jar
- XDoclet is a tool that evolved on the basis of EJBDoclet, created by Rickard Oberg. It's easy to manage: go through the bean class itself to see full components instead of traversing multiple EJB files. How did it do it?
gpldecha-e-pca-d542a9b
- PCA是一种非线性降维方法特别适合于概率分布，得到了指数族PCA的POMDPs压缩。(Matlab implementation of E-PCA which is a non-linear dimensionality reduction method particularly suited for probability distributions, see the paper Exponential Family PCA for
bp-vision-master
- 置信度传播算法，用于恢复双视点图像中的物体深度(Belief propagation algorithm which is used to recover the depth of objects in dual view images)
convDBN-master
- 用于实现卷积深度置信网络，实现利用的是MATLAB代码(A deep belief network for convolution)
wow1 - Copy (2)
- Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old.
wow1
- Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old. 2
kernelBP_chol
- 针对图像的基于核置信传播的分类器，具有收敛速度快，精度高的优点。(This is a sample code for Kernel Belief Propagation Classifier for images.)
kernelBP_loopy
- 本文是基于核置信传播的经典文献，对于正确理解该理论有很大帮助。(This paper is based on the classical literature of nuclear belief propagation, which is very helpful to understand the theory correctly.)
1-s2.0-S0925231213009697-main
- interesting paper about fuzzy belief
DBN代码
- MATLAB实例与人工智能神经网络深度学习深度信念网络(MATLAB instance and artificial intelligence neural network deep learning deep belief network)
DeepLearning
- 包含神经网络、卷积神经网络、深度信念网络等深度学习程序，该程序可以用于语音识别、分类等处。(Deep learning programs including neural network, convolutional neural network and deep belief network can be used for speech recognition, classification and so on.)
Learning Deep Architectures for AI
- 一本关于深度架构学习算法，尤其是用来构造更深层模型的非监督学习的单层模型。(Theoretical results suggest that in order to learn the kind of com- plicated functions that can represent high-level abstractions (e.g., in vision, language, and other AI-level tas
PIHTN272
- LDPC码在基于BP (Belief Propagation) 的迭代译码相结合的条件下具有逼近Shannon 限的性能,()