资源列表
stacked-autoencoder
- 基于两层的层叠自编码的深度学习模型，前两层用于特征提取，再加一个Softmax分类器用于分类-Two stacked the depth of learning coding model based on the first two levels for feature extraction, coupled with a classifier for classifying Softmax
preprojects
- 华农oj上的题，分类不是特别好，希望大家可以从中找到需要的代码吧(scauoj hope you can find your need in the file)
people faces
- 用卷积神经网络（CNN）实现人脸识别，效果还可以，一个是training的程序，可以训练网络。一个是use程序，可以识别人脸(Using convolution neural network (CNN) to achieve face recognition, the effect is also available, one is the training program, can train the network. One is a use program that recognizes
itext
- java实现txt、excel、word等文本转换为PDF格式文件-Java implements TXT, excel, word, and other text as a PDF file
robotlocalization
- 实现pioneer3机器人在已知地图中的定位。本程序通过Mentocarlo 定位算法，在一个已知的地图环境中，通过不断采样修正定位位置，最终实现机器人的精确定位，本程序包括所有源码。程序执行方式：首先执行服务端程序justLocalizationGuiServer，然后启动客户端查看程序MobileEyes查看结果。-Achieve pioneer3 robot in a known map location. This procedure Mentocarlo location algori
Elad_super_resolution
- 基于边缘的超分辨率重建技术，对于学习超分辨率重建的同学很有帮助。。
深度学习-AI圣经
- 深度学习(deep learning) AI圣经 中文版电子书 伊恩·古德费洛 (Ian Goodfellow) (作者), 约书亚·本吉奥 (Yoshua Bengio) (作者), 亚伦·库维尔 (Aaron Courville) (作者), 赵申剑 (译者), 黎彧君 (译者), 符天凡 (译者), 李凯 (译者)(Deep learning AI biblical Chinese version ebook Ian Goodfellow (Ian Goodfellow) (author)
深度学习
- 深度学习概念、基本模型介绍、机器学习基础、深度前馈网络(An introduction to the concept of deep learning and the basic model)
moshishibie
- 这是一篇关于模式识别方面的英文文章，详细介绍了模式识别的相关知识。供各位参考。-This is an article on pattern recognition in the English article, detailed knowledge of pattern recognition. For your information.
离散结构ppt
- 括号匹配，数据结构中比较重要 的栈的利用，数据结构中比较重要 的栈的利用。(Parentheses matching, data structure in the more important use of the stack, the data structure of the more important use of the stack.)
Numerical-Methods-using-MATLAB---Mathews-and-Fink
- Numerical Methods in Engineering with MATLAB as algebraic equations occur in almost all branches of numerical analysis. But their most visible application in engineering is in the analysis of linear systems
Numerical-Methods-using-MATLAB-3rd-Ed
- Numerical Methods using MATLAB 3rd edition