资源列表
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)
机器学习_周志华
- 号称机器学习人手必备一本的“西瓜书”，讲解通俗易懂(Known as machine learning manpower necessary book "watermelon book", explain popular easy to understand)
深度学习+中文版
- 目前来说最经典的深度学习的资料，这是最新翻译好的中文版(At present, the most classic deep learning materials, this is the latest translation of the Chinese version)
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)
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)
My Project
- PARA EL INICIO DE MATLAB
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%.)
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.)
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
深度学习 21天实战Caffe
- 深度学习caffe框架学习，适合新手入门 下载后如果解压不成功，将后缀改为.7z再次解压即可(Deep learning caffe framework learning, suitable for beginners)
神经网络
- 本书详细讲解了神经网络理论，以及在工具箱中的实现，仅供学习交流，如果喜欢，请购买正版。(This book explains in detail the neural network theory, as well as the implementation of the toolbox, only for learning exchanges, if you like, please buy genuine.)
DemoPSOBehavior
- 很好的算法，不错的算法，全局最优，收敛速度快。(Particle Swarm Optimization)