Deep Learning: Methods and Applications
微软研究院的一份deep learning讲义, 详细讲了近几年deep learning的发展,非常系统,适合学习
微软研究院的一份deep learning讲义, 详细讲了近几年deep learning的发展,非常系统,适合学习
matplotlib tutorial的中文版, 介绍了如何使用python进行数据可视化,适合熟悉matlab的人转向python的人阅读。
该资料为淘宝核心系统服务器平台组成员所著,非常详细讲解了Nginx模块开发和原理。网页版本在http://tengine.taobao.org/book/
基于深度学习网络(deep learning network)的手写体识别matlab代码
深度学习网络matlab工具包 Directories included in the toolbox ----------------------------------- `NN/` - A library for Feedforward Backpropagation Neural Networks `CNN/` - A library for Convolutional Neural Networks `DBN/` - A library for Deep Belief Networks `SAE/` - A library for Stacked Auto-Encoders `CAE/` - A library for Convolutional Auto-Encoders `util/` - Utility functions used by the libraries `data/` - Data used by the examples `tests/` - unit tests to verify toolbox is working For references on each library check REFS.md ========================================================== ps:可能有写matlab中不带有rng函数,导致test脚本出错。该函数主要是负责 初始化随机数种子,可以直接注释掉就可以运行,或者使用rand函数代替。
深度学习网络matlab工具包,包含深度信度网络dbn,卷积网络cnn,sae(stacked auto-encoders),cae(Convolutional auto-encoders)等实现。 ================================================================ Directories included in the toolbox ----------------------------------- `NN/` - A library for Feedforward Backpropagation Neural Networks `CNN/` - A library for Convolutional Neural Networks `DBN/` - A library for Deep Belief Networks `SAE/` - A library for Stacked Auto-Encoders `CAE/` - A library for Convolutional Auto-Encoders `util/` - Utility functions used by the libraries `data/` - Data used by the examples `tests/` - unit tests to verify toolbox is working For references on each library check REFS.md =========================================================== ps:在某些matlab中,可能没有rng函数,从而导致测试脚本中报错。该函数作用只是初始化随机函数种子,可以直接把rng(0)这句注释掉,或者用rand函数去设置随机种子。
小波变换代码包。 调用形式:ww=DWT(N) N为数据大小,返回变换系数矩阵。 使用举例 X=imread('lena256.bmp'); X=double(X); % 小波变换矩阵生成 ww=DWT(a); % 小波变换让图像稀疏化(注意该步骤会耗费时间,但是会增大稀疏度) X1=ww*sparse(X)*ww';