资源列表
DeepLearning
- 包含神经网络、卷积神经网络、深度信念网络等深度学习程序，该程序可以用于语音识别、分类等处。(Deep learning programs including neural network, convolutional neural network and deep belief network can be used for speech recognition, classification and so on.)
CNN-with-three-pooling-strategy
- 这是matlab的代码，将cnn进行三次池化的代码，可以作为学习卷积神经网络的入门例子-This is a matlab code that will perform three pooled cnn code can be used as a convolution neural network learning introductory example
deepLearn
- 深度学习的开发工具，有利于大家学习。自测能用(Development tools for deep learning)
DeepLearnToolbox_matlab
- matlab实现的深度学习算法，能够看到代码，对学习使用深度学习很有帮助-deep Learning
bergpalm_DeepLearnToolbox
- 如今深度学习是AI和机器学习领域最热门的学习趋势。这是为深度学习而开发的matlab工具箱，很适合大家。-Today, deep learning is AI machine learning and learning the hottest trend. This is for deep learning and the development of matlab toolbox is suitable for everyone.
Shark-3.0.0
- SHARK是一种快速、模块化、功能丰富的开源C++机器学习库。它提供了线性和非线性优化的方法，基于内核的学习算法，神经网络，和其他各种机器学习技术（见下面的特征列表）。它作为一个强大的工具箱，已经在现实世界有很多应用和研究。SHARK依赖于Boost和 cmake。它兼容Windows，Solaris，MacOS X和Linux。根据GNU通用公共许可证授权许可。-SHARK is a fast, modular, feature-rich open-source C++ machine lea
DeepLearnToolbox-master
- matlab 的深度学习tool box，可方便熟悉深度学习的算法-matlab depth learning tool box, can be easily familiar deep learning algorithms
DeepLearnToolbox-master
- 深度学习（Deep learning）matlab工具包-`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-
Deep Learn Toolbox-master
- Geoffrey E. Hinton 深度学习资料-Geoffrey E. Hinton Deep Learning code
LSA
- LSA文本分析 LSA文本分析 LSA文本分析 -LSA wenbenfenxi
weka-3-5-5
- weka是机器学习和数据挖掘领域最有影响力的开源项目之一，大量实用的代码-weka is machine learning and data mining areas of the most influential open source projects, a lot of practical code
Visual_Prolog_study
- 本书详细介绍了visual prolog环境下的人工智能系统的开发，是该方面国内为数不多的几本书中的经典之作。-The book detailed visual prolog environment of artificial intelligence systems have been developed, is the domestic one of the few aspects of the book several classic.