资源列表
tinyslam
- tinyslam是openslam中实现最为简单的一种slam方法，其代码的核心实现没有超过两百行，对新手入门，深刻理解slam的工作原理，很有帮助。(Tinyslam is the most simple realization of a slam method in openslam, the core implementation of its code does not exceed two hundred lines, for beginners, a profound underst
KNN
- 实施KNN算法，并使用KNN改进约会网站，将KNN运用在手写识别系统。(Implement KNN algorithm, and use KNN to improve dating website, use KNN in handwriting recognition system.)
神经网络mnist
- 利用神经网络对手写识别系统进行分类，正确率高达92%。(Using neural network to classify handwritten recognition system, the correct rate is as high as 92%.)
My Project
- PARA EL INICIO DE MATLAB
deepLearn
- 深度学习的开发工具，有利于大家学习。自测能用(Development tools for deep learning)
一天搞懂深度学校-李宏毅
- 机器学习初学者入门所用，能快速厘清相关概念(Machine learning beginners access, can quickly clarify the relevant concepts)
机器学习实战
- 机器学习结合Python的参考资料书，理论与实践结合，评价很好(Machine learning combined with Python reference books, theory and practice combined, evaluation is very good)
GA
- 遗传算法求极小值，用一个函数为例求解极小值(Minimum value of genetic algorithm,use a function as an example to solve)
sample2
- 基于MATLAB平台开发的，用于数值计算的粒子群算法(Particle swarm optimization algorithm for optimization)
sample3
- 基于MATLAB平台开发的，用于数值计算和优化的粒子群算法(Particle swarm optimization algorithm for optimization)
sample4
- 基于MATLAB平台开发的，用于数值计算和优化的通用型粒子群算法(Particle swarm optimization algorithm for optimization)
sample5
- 基于MATLAB2012b平台开发的，用于数值计算的粒子群算法(Particle swarm optimization algorithm for optimization)