资源列表
新建文件夹
- 第三版英文原版书籍，神经网络与机器学习，欢迎学习(Third edition of English original books, neural network and machine learning, welcome to learn)
JavaGenes.0.7.28.tar
- JavaGenes is an evolutionary software system written in Java. It implements the genetic algorithm, simulated annealing, stochastic hill climbing and other search techniques.-JavaGenes is an evolutionary software system written in Java. It implements
hugin-2009.4.0_rc2.tar
- 用来拼接图像的另一款软件 基于sift算法 速度较慢 效果不错 来自开源项目 hugin-another alogriam used to panoramic images ,base on sift feature ,low in speed but with nice result ,come form a opencn source project Hugin
data-mine
- 数据挖掘相关方面的知识，想学的童鞋看下,非常不错的资源哦-data mine
handson-ml-master
- 这个项目的目的是教你机器学习的基本原理。它包含了Hands-on Machine Learning with Scikit-Learn and TensorFlow这本书的示例代码和解决方案。非常好的一本书！(This project aims at teaching you the fundamentals of Machine Learning in python. It contains the example code and solutions to the exercises in
PatternRecognitionPPT
- 模式识别(国家级精品课程讲义),国防科技大学 电子科学与工程学院信息工程系 蔡宣平教授的课件-Pattern Recognition (national best course handouts), the National Defense Science and Technology University of Electronic Science and Engineering, School of Information Engineering, Professor Cai Xuanpin
HaarPSRC=Vehicle-detection
- 运用harr特征+SRC（稀疏表示）分类实现的一种车辆检测方法，文件中提供了训练和测试车辆图片。由于时间原因，所用haar特征没有优化，维度过高，导致滑窗框图过慢，本代码只输出效果统计数据，以供大家参考学习稀疏表示在车辆检测中的应用。-Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training a
Sparse-Autoencoder
- 稀疏自编码是构成堆栈式自编码的基础，通过稀疏自编码可以提取图像的边缘特征。-Sparse coding constitute the basis of the stack self-encoded by sparse coding can be extracted the edge feature of the image.
Gesture-recognition
- 本实验中对手势识别的方法进行研究。采用的主要方法是基于BP神经网络的静态手势识别。 包含实验结果和实验报告。-In this study, the method of gesture recognition research. The main method is based on BP neural network static gesture recognition. Contains experimental results and test reports.
MINIST_CNN
- 使用卷积神经网络实现手写体识别，有train.m与test.m，里面附有数据集(use CNN to recognize the ministdataset)
ML
- 这是斯坦福大学公开课的笔记，机器学习的同学可以看一下，还是非常不错的。-This is the Stanford University open class notes, machine learning students can look at, or very good.
paper
- 这个是智能优化算法论文集，里面有的文章对于学习者有一定的帮助。-This is a collection of intelligent optimization algorithm, which some articles for the learner will certainly help.