资源列表
Jena-2.5.4
- jena2.5.4推理机系统的一种最基本实现 HP实验室出品
Deep Learning Papers Reading Roadmap
- 这是一些关于深度学习的入门资料，希望对初学者有些帮助。(These are some basic materials on deep learning, hope they are helpful to the beginners!)
sparse-autoencoding
- UFLDL的稀疏自编码样例程序.使用matlab语言编写-sparse auto-encoding program using matlab in UFLDL
neural.tar
- 神经网络入门经典教程 神经网络模式识别相关-elementary book for neural network
BP神经网络手写数字识别
- 使用bp神经网络算法识别手写阿拉伯数字图像，三层的误差反馈神经网络，可输出准确率，数据集为60000条数据，每条数据是一张28*28的图片(The BP neural network algorithm is used to recognize handwritten Arabia digital images, and the error feedback neural network of three layers can output the accuracy rate. The data
NN-Back-Propagation-Generalized
- Solving XOR-problem and consecutively try MNIST-dataset with fundamental level of understanding on neural networks. Recommendable for beginners ( As I am :) ) And it s fully documented.
project
- 基于c++语言和opencv的视觉立体匹配(Visual stereo matching based on c++ language and opencv)
weka-3-7-7
- Weka的全名是怀卡托智能分析环境（Waikato Environment for Knowledge Analysis），是一款免费的，非商业化（与之对应的是SPSS公司商业数据挖掘产品--Clementine ）的，基于JAVA环境下开源的机器学习（machine learning）以及数据挖掘（data minining）软件。这是2012年8月下旬的最新版本。-The full name of the Weka Waikato intelligent analysis of the en
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)
D-S
- 战略地图态势估计与态势融合的界面仿真程序及算法-Situation Assessment and Strategy Map Situation fusion algorithm and simulation program interface
svm-ZIP
- 用svm实现数据的三分类问题，将输入的数组分成三类，并检查分类的准确率。-Svm classification achieved with three data array will enter into three categories, and check the accuracy of classification.
TMSVM
- TMSVM开源的文本挖掘代码,C++代码写的比较清楚，值得研究。-TMSVM opensource text mining code