深度学习工具包 Deprecation notice. ----- This toolbox is outdated and no longer maintained. There are much better tools available for deep learning than this toolbox, e.g. [Theano](http://deeplearning.net/software/theano/), [torch](http://torch.ch/) or [tensorflow](http://www.tensorflow.org/) I would suggest you use one of the tools mentioned above rather than use this toolbox. Best, Rasmus. DeepLearnToolbox ================ A Matlab toolbox for Deep Learning. Deep Learning is a new subfield of machine learning that focuses on learning deep hierarchical models of data. It is inspired by the human brain's apparent deep (layered, hierarchical) architecture. A good overview of the theory of Deep Learning theory is [Learning Deep Architectures for AI](http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf) For a more informal introduction, see the following videos by Geoffrey Hinton and Andrew Ng. * [The Next Generation of Neural Networks](http://www.youtube.com/watch?v=AyzOUbkUf3M) (Hinton, 2007) * [Recent Developments in Deep Learning](http://www.youtube.com/watch?v=VdIURAu1-aU) (Hinton, 2010) * [Unsupervised Feature Learning and Deep Learning](http://www.youtube.com/watch?v=ZmNOAtZIgIk) (Ng, 2011) If you use this toolbox in your research please cite [Prediction as a candidate for learning deep hierarchical models of data](http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=6284) ``` @MASTERSTHESIS\{IMM2012-06284, author = "R. B. Palm", title = "Prediction as a candidate for learning deep hierarchical models of data", year = "2012", } ``` Contact: rasmusbergpalm at gmail dot com 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 `u

基于matlab的深度学习工具箱，注意文件夹路径的放置，matlab2014a和2017a亲测可用，其他版本应该也可以吧。

DeepLearn 深度学习MATLAB工具箱，适合MATLAB平台快速入门深度学习，包含CNN,RNN,DBN等模型全套代码

压缩文件包含三个常用的Matlab深度学习工具箱 分别是DeeplearningToolbox,libsvm,matconvnet 使用时直接添加到MATLAB的Toolbox路径下即可 工具箱里都有一些example 可以在这些例子的基础上写一个自己的神经网络结构

文件用于安装matlab深度学习工具箱，将解压后的文件夹（我的是自动命名为了DeepLearnToolbox-master）放到matlab安装根目录的toobox文件夹里（参考我的是F:\Program Files\Matlab\toolbox） 最后添加路径就好了，在matlab命令行窗口输入addpath(genpath('F:\Program Files\Matlab\toolbox\DeepLearnToolbox-master')) 最后 输入which cnnff确认安装成功