资源列表
JDiy
- 一款超轻量的java极速开发框架，javaEE/javaSE环境均适用。便捷的数据库CRUD操作API。支持各大主流数据库：MySQL, SQL Server(MsSQL)，PostgreSQL、Oracle、DB2、SQLite。内置高效连接池，JDiyApp上下文环境动态加载，空闲时自动销毁JDiyApp上下文，节省服务器内存开销。-An ultra-lightweight java speed development framework, javaEE/javaSE environment
MATLAB
- 学习matlab的很经典的几本书籍，包括MatLab程序设计.pdf MATLAB基础及其应用.pdf MATLAB语言编程.pdf-Matlab very classic study of several books, including MatLab programming. Pdf MATLAB and its application. Pdf MATLAB programming language. Pdf
Algorithms_on_Strings-_Trees_and_Sequences
- compression techniqe
algorithms-on-strings-trees-and-sequences
- 一本讲述各种与"树"有关的数据结构的算法书.非常经典,比较晦涩,需要认真阅读-a classic algorithm book mainly talking about tree-related data structure. it is hard to read and understand, but it deservers.
CNN
- 卷积神经网络的全部代码，已经调试通过了，可用于特征选择(Convolutional neural network all the code, has been debugged, and can be used for feature selection)
Vehicle-License-Plate-Recognition-
- 车牌识别技术(Vehicle License Plate Recognition，VLPR) 是指能够检测到受监控路面的车辆并自动提取车辆牌照信息（含汉字字符、英文字母、阿拉伯数字及号牌颜色）进行处理的技术。车牌识别是现代智能交通系统中的重要组成部分之一，应用十分广泛。它以数字图像处理、模式识别、计算机视觉等技术为基础，对摄像机所拍摄的车辆图像或者视频序列进行分析，得到每一辆汽车唯一的车牌号码，从而完成识别过程。通过一些后续处理手段可以实现停车场收费管理，交通流量控制指标测量，车辆定位，汽车防盗
Demo_Broadlearning_MNIST
- 宽度学习是最近比较热的分类器，可用于图像分类等应用(image classification Broad learning)
deepsae
- 构建深度sae网络，数据特征提取及分类，自定义网络结构参数(about deepsae code and an example, ex1 train a 100 hidden unit SDAE and use it to initialize a FFNN)
CNN-123
- 区别于传统的图像识别，将一维的数据放入cnn网络进行识别(Different from the traditional image recognition, one-dimensional data into the cnn network to identify)
c2
- 人工神经网络，机器学习，以及混沌神经网络的ppt-Artificial neural networks, machine learning, and chaotic neural network based on ppt
python-2.6.6
- python2.6-6安装文件,用于使用libsvm的.py文件。-installation file of python
DeepLearnToolbox-master
- matlab中深度学习工具箱，具有备注，方便易懂(Matlab in-depth learning toolbox, with notes, easy to understand)