资源列表
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)
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)
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)
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)
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)
机器学习中的矩阵和求导
- 机器学习中涉及大量的矩阵论相关知识与问题，此资料有助于程序员理解解决相关问题(Machine learning involves a large number of matrix theory related knowledge and problems, this information helps programmers understand and solve related problems)
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)