资源列表
DeepLearnToolbox-master
- 深度学习的概念源于人工神经网络的研究。含多隐层的多层感知器就是一种深度学习结构。深度学习通过组合低层特征形成更加抽象的高层表示属性类别或特征，以发现数据的分布式特征表示(The concept of deep learning stems from the study of artificial neural networks. A multilayer perceptron with a hidden layer is a depth learning structure.)
DeepLearnToolbox-master
- 主要是深度学习相关的工具包，包括CNN+DBN+NN等,使用matlab实现。(Deep learning related toolkits, including CNN+DBN+NN and so on, are implemented using matlab.)
DeepLearnToolbox-master
- 深度学习MATLAB的工具箱，包括CNN、RNN、CAE、LSTM等复杂的神经网络的代码。(Deep learning MATLAB toolbox, including CNN, RNN, CAE, LSTM and other complex neural network code.)
ml-startup-1
- 线型模型的学习资料 python源码，依赖sk-lean库实现(Linear model of learning materials Python source code, relying on sk-lean library implementation)
DeepLearnToolbox-master
- 深度学习工具箱的matlab程序，包括NN,CNN,CAE,SAE,DBN等多种深度学习算法。 -It s a deep learning toolbox of matlab, including NN, CNN, CAE, SAE, DBN and other deep learning algorithms.
DeepLearnToolbox-master
- Matlab的深度学习工具箱，有CNN DBN NN SAE for matlab。(Matlab's depth learning toolkit has CNN DBN, NN, SAE, for, matlab.)
DeepLearnToolbox-master
- 集中经典的DeepLearning算法 CNN SAE DBN等(Deep Learning CNN SAE DBN Several classic DeepLearning algorithms CNN SAE DBN etc)
DeepLearnToolbox-master
- DNN工具包，可以利用MATLAB实现深度神经网络。达到预测的目的(DNN toolkit can implement deep neural network using MATLAB. Achieve the purpose of prediction)
DEEP-CNN
- matlab下的CNN代码，有小例子供参考(the CNN code, there are small examples for reference)
MovieSite
- 利用kmeans对电影进行聚类，利用java实现-Use kmeans clustering of the film, using java to achieve
python-2.6.6
- python2.6-6安装文件,用于使用libsvm的.py文件。-installation file of python
DeepLearnToolbox-master
- matlab中深度学习工具箱，具有备注，方便易懂(Matlab in-depth learning toolbox, with notes, easy to understand)