资源列表
Matlab数据分析与挖掘实战-最新完整版
- 这是一本以实践为导向的 MATLAB 数据挖掘实战指南，以真实案例为主线，不仅深入浅出地讲解了数据挖掘建模过程中的各个环节和各项技术（如数据探索、数据预处理、分类与预测、聚类分析、时序预测、关联规则挖掘、智能推荐、偏差检测等），而且还为电力、航空、医疗等 10 余个行业的数据挖掘提供了方法指导和解决方案。此外，本书还深入讲解了数据挖掘的二次开发等内容。(MATLAB data analysis)
cbir
- 基于内容的图像检索程序，matlab代码，SVM分类实现，检索效果好，对于研究基于内容检索的学习者用处很大-Content-based image retrieval procedures, matlab code, SVM classification to achieve good retrieval effect, for content-based retrieval research has proved very useful to learn
时间卷积神经网络
- 程序为时间卷积神经网络的python程序，可捕获锂离子电池退化过程中的容量增生问题，迁移学习能力不强。
Lin-Kernighan
- Lin-Kernighan聚类算法源代码，下载后可以直接编译执行-Lin-Kernighan clustering algorithm source code, download directly to compile the implementation of
code&doc
- 基础的卷积神经网络代码，实现mnist手写字符识别，含中文文档说明(Basic CNN code, including detailed annotation in Chinese)
VCPP-image-processing-chapter01
- VisualC++数字图像处理技术详解第2版，光盘资料第一章-VisualC++ digital image processing technology Detailed 2nd Edition, CD-ROM chap.
machine-learning-ex3
- 斯坦福大学机器学习第3次作业 可供参考 100分-Stanford Machine Learning 3rd job for reference 100
DigtalIPP
- 数字图像处理工程案例，包含的案例很多，除基本的图像处理代码外，还有基于神经网络的文字识别系统，基于数字图像处理的数码相机调焦系统等-Digital Image Processing Project, including many of cases, in addition to basic image processing code, there are neural network based character recognition system, based on digital ima
GP
- 一个简单的中文分词系统，基于正向最大匹配算法和逆向最大匹配算法。-A simple Chinese word segmentation system, based on the forward and reverse maximum matching algorithm maximum matching algorithm.
Deep Learning
- 关于深度学习的一本很好的入门书，是中文的，很详细，公式推到很详细(On the depth of learning a good introductory book, is Chinese, very detailed, the formula is very detailed)
深度学习书
- 此书详细的介绍了各种人工智能的方法, 书中基本涵盖所有人工智能的方法，并且包含许多较新的方法。(This book introducing the different methods of deep learning, this book contains all of deep learning method, including some new algorithms.)
deep learning中文版
- 深度学习，中文版，这本书比较详细的讲解了深度学习相关的知识(Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Lear