搜索资源列表
C++Model
- chm格式电子书,是深度学习C++模型的,可以看看。
searchsourcecode
- TC版深度搜索、广度搜索源代码,适合C语言初学者参考学习!-TC version of the depth search, breadth search source code
linux_drive_deepstudy
- linux 驱动深度解析---有兴趣的朋友一起学习下-the linux driver depth analysis--- friends who are interested to learn under
SVM
- 深度学习中关于向量机支持向量机(即一种分类器)的相关内容-Depth study on vector machines support vector machine (that is, a classifier) related content
duh12deeplearn
- 深度学习资料,ppt,2012年的,语音图像学习,深度学习资料,ppt,2012年的,语音图像学习-deeplearning ppt
Stanford-depth-learning-materials
- 斯坦福大学关于深度学习的资料及练习代码-Stanford depth learning materials
deeplearning
- 深度学习的入门级介绍,可以了解基本算法基本知识,很适合初学者-deeplearning instruction
Deep-learning-Methods
- 这个文档是关于深度学习的方法和应用,由微软研究和编写的。-This document is about the deep learning method and the application, research and written by Microsoft.
deep-learning-turior
- 一本英文版的深度学习教程,内容全面,值得得初学者学习。-A deep learning in English tutorial, comprehensive, is worth to beginners learning.
Architectures-for-AI
- 这个文档是关于用深度学习做成的人工智能构架体系。-This document is about made of deep learning framework of artificial intelligence.
caffeconfigure
- 亲自撰写的说明文档,如何在linux下配置深度学习caffe环境。-This document teach you how to configure the deep learning sourrding caffe.
Pedestrian-Detection
- ICCV2013: 简 称UDN算法,从文中描述的检测效果来看,该方法是所有方法中最好的,并且,效果远超过其他方法。经过对论文和该算法源码的研究,该算法是与作者另外一篇 论文的方法 ,另外的论文算法做图片扫描,得到矩形框,然后用该方法对矩形框进行进一步确认,以及降低误警率和漏警率。另外的论文是:Multi-Stage Contextual Deep Learning for Pedestrian Detection 说得难听一点,这篇文章对行人检测没有多大的贡献。仅仅是用深度学习
Deep-Learningdoc
- 一篇关于对深度网络工具箱源代码调试和理解的文档,适合初学深度学习理论的研究生-a document on the coding and running matlab soucecode on deep learning, it is very good for the new learner of deep learn
CNNDEMO
- 卷积人工神经网络,是一种基于深度学习的重要代码为图像的解析提供了很好的应用方向-Convolutional neural network is an important code based on the depth of the study of the code for the image analysis provides a good application direction
cnn_tutorial.pdf
- 本文档讨论和实现了卷积神经网络, 并且进行了延伸。非常重要的资料,对于深度学习有很重要的借鉴意义。 -This document discusses the derivation and implementation of convolutional neural networks (CNNs), followed by a few straightforward extensions. Convolutional neural networks involve many more connec
deep-residual-networks-master
- 深度残差网络的介绍与源代码,适合深度学习爱好者学习。这是何凯明大牛的又一部大作。-The depth of the residual network is introduced with the source code , suitable for deep learning lovers to study . This is another masterpiece He Kaiming Daniel .
bayesian-network
- 贝叶斯网络可以与深度学习联合使用,也可以用于推理-bayesian network
nndl-ebook
- 适合快速上手深度学习,以mnist数据集为例,剖析深度学习工程实践过程。-Suitable for quick start to learn, to mnist data set, for example, analysis of the depth of learning engineering practice.
Neural Network and Deep Learning.pdf
- 深度学习的入门级经典书籍,并且这本中文翻译版本更利于大家学习!
斯坦福博士韩松毕业论文:面向深度学习的高效方法与硬件
- 斯坦福博士韩松毕业论文:面向深度学习的高效方法与硬件