资源列表
深度学习中文版-Deep+Learning-Yoshua+Bengio
- 这是美国三位著名专家编写的深度学习书籍，里面包括各种深度学习的原理，之前一直为英文版，最近出了中文版，学习深度学习的必备书籍(This is the three famous American experts written in-depth study books, including a variety of deep learning principles, has been in English before, recently out of the Chinese version, l
RoboticMechanicalSystems
- 关于机器人动力学原理与实现非常好的一本书，这是英文原版的-On the robot dynamics and to achieve a very good book, this is the original English
Deep_Learning深度学习中文版
- 此深度学习课件为中文版，翻译的质量比较好奥，大家请放心学习，最好自学(This depth study courseware is Chinese version, the quality of translation is very good, everybody please rest assured to study, the best self stu)
facedetection_AdaBoost
- 这是用vs2010开发的基于AdaBoost的人脸识别程序，适合初学者使用-It is developed with vs2010 AdaBoost-based face recognition program, suitable for beginners
c2
- 很好的神经网络控制课件，这是第二章，后面还有三章，请多多支持。-Good neural network control courseware, this is the second chapter, after that there are three chapters, please their support.
VisionWorkbench_1.1.0.5_x86
- 在计算机图像硬件上实现计算机视觉的相关算法，并使用了OpenGL及其Cg语言和CUDA，程序不错。-The OpenVIDIA project implements computer vision algorithms on computer graphics hardware, in OpenGL and Cg and CUDA. The project provides useful example programs which run computer vision algorithms
mohuyuce
- 对列车运行过程进行模糊预测算法优化控制并使用matlab进行仿真实验-Train running fuzzy prediction algorithm to optimize control and use matlab simulation experiments
libsvm&classify函数使用
- libsvm和classify函数的使用语法(The usage syntax of libsvm and classify functions)
vSLAM
- 基于视觉信息的移动机器人同步地图创建与定位(vSLAM)问题是机器人自主导航技术的关键，已经成为自主移动机器人面临的重要基础性难题。-Mobile robot based on visual information synchronized map building and localization (vSLAM) is the key autonomous navigation technology has become an important autonomous mobile robot
深度学习 21天实战Caffe
- 深度学习caffe框架学习，适合新手入门 下载后如果解压不成功，将后缀改为.7z再次解压即可(Deep learning caffe framework learning, suitable for beginners)
train_lowsae
- 以图像块作为输入信息训练自编码器的matlab程序-An matlab program for training an encoder an image block as input information
花书
- 深度学习是机器学习的一个分支，它能够使计算机通过层次概念来学习经验和理解世界。因为计算机能够从经验中获取知识，所以不需要人类来形式化地定义计算机需要的所有知识。层次概念允许计算机通过构造简单的概念来学习复杂的概念，而这些分层的图结构将具有很深的层次。本书会介绍深度学习领域的许多主题。(Deep learning is a branch of machine learning. It enables computers to learn experience and understand the