资源列表
ABSO
- 应用fluent仿真软件生成湍流烟羽环境下,应用头脑风暴优化算法气味源定位程序(Using fluent simulation software to generate turbulent plume environment, the application of brainstorming algorithm, odor source localization program)
手写数字识别
- 贝叶斯,神经网络等不同算法下的手写数字识别比较并建立了GUI界面可视化(Bias, neural network and other algorithms under the handwritten numeral recognition, comparison and establishment of the GUI interface visualization)
som神经网络
- som神经网络自组织特征映射网络,用于聚类(Som neural network self-organizing feature mapping network for clustering)
粒子群算法
- 基本的粒子群算法,适合初学者学习,对于理解人工智能算法很有帮助(Particle swarm optimization algorithm, suitable for beginners, helpful)
深度学习-李宏毅
- 台大教授李宏毅 深度学习课程全套讲义,非常好的深度学习资料(NTU professor Li Hongyi depth study courses, a full set of handouts, very good depth learning materials)
NNC_PID_1_2
- 该MDL主要通过Matlab Simulink实现神经网络的PID控制,两个例子中神经网络模块分别利用Simulink\User-Defined Functions\MATLAB Fcn和S函数方式实现。在S函数中引入T,nh,xite,alfa,kf1,kf2等参数,在S-Function模块的Parameters处予以初始化。并附带了S函数的使用方法,供大家学习Simulink中两种自定义模块的使用方法。(The MDL mainly through the Matlab Simulink
2016_GAN_Matlab-master
- GAN的matlab版本,用于图像分类和生成(The matlab version of GAN is used for image classification and generation)
《机器学习》-周志华
- 此为机器学习西瓜书,入门必备书籍。讲述了机器学习入门的原理等问题。(this is machine learning book, by Zhou zhi_hua.)
dream
- 贝叶斯MCMC,Dream算法,可以用来计算不确定性。(This fortran program is a Dream method)
svm源码
- 里面是matlab实现svm的源码和数据,可以运行使用。只需要更改一下数据就行,可供学习
Titanic-master
- 此包含有基于TensorFlow平台上的一个分类问题,适合初学者使用。含有实验数据,测试数据,完整代码,优化代码,可视化代码。(This package contains a classification problem based on TensorFlow platform, suitable for beginners to use. Contains experimental data, test data, complete code, optimization code, visua
1小时入门Python机器学习代码
- 机器学习课件,非常全面而又详细的课件,可供入门机器学习的人进行参考(Machine learning courseware, very comprehensive and detailed courseware, for beginners to learn the machine for reference)