资源列表
ksvdbox
- K-SVD算法用于稀疏表达,基于OMP算法。(The algorithm is apply for sparse representation)
ompbox
- K-SVD算法用于稀疏表达，基于OMP算法。(The algorithm is apply for the sparse representation.)
network Simon Haykin
- 神经网络与机器学习，第三版： 神经网络是计算智能和机器学习的重要分支，在诸多领域都取得了很大的成功。在众多神经网络著作中，影响最为广泛的是这本书。(Neural networks and machine learning: Third Edition: neural network is an important branch of computational intelligence and machine learning, and has achieved great success in
EKF
- EKF的实现,基于导航数据实现的扩展卡尔曼滤波。参数已经调好了，可以直接用(the implementation of EKF)
GoogleNet_MATLAB-master
- GoogleNet 卷积神经网络 图片分类 分类精度高 网络结构深(GoogleNet convolution neural network image classification, high classification accuracy, network structure is deep)
kxianbaojing
- MT4外汇平台使用，可以自己设置K线点数报警(MT4 foreign exchange platform, you can set their own K-line points alarm)
neural-networks-and-deep-learning-master
- 用不同的方法实现了神经网络（没有用第三方库，就是用numpy等实现的，对于初学者来说是不错的深入了解神经网络的素材）(Using different methods to achieve the neural network (not using third square libraries, that is, using numpy and so on, for beginners is a good understanding of the neural network material))
DeepLearningImageClassificationExample
- 使用2012Imagenet数据大赛深度学习网络为架构的卷积神经网络，可进行多类数据分类任务(Using the 2012Imagenet Data Contest Deep Learning Network for Architectural Convolution Neural Networks, Multiple Class Data Classification Tasks)
weighted_median_filter_approx
- 加权引导滤波的一般实现方式，内有代码注释(A general implementation of weighted bootstrap filtering with code annotations)
基于遗传神经网络的图像分割
- 利用神经网络进行图像分割，对于初学者有很好的使用价值。(Image segmentation using neural networks)
CNNToolbox
- 卷积神经网络工具包，matlab运行，用于图像特征挖掘(convolutional nerual network)
常见的机器学习方法（R语言）
- 常见的机器学习方法，R代码，并附有详细的代码说明(Common machine learning methods, R code, and with detailed code descr iption)