A Full Hardware Guide to Deep Learning Deep Learning is very computationally intensive, so you will need a fast CPU with many cores, right? Or is it maybe wasteful to buy a fast CPU? One of the worst things you can do when building a deep learning sy…

 https://study.163.com/provider/400000000398149/index.htm?share=2&shareId=400000000398149( 欢迎关注博主主页,学习python视频资源,还有大量免费python经典文章)   https://timdettmers.com/2018/12/16/deep-learning-hardware-guide/ 深度学习的完整硬件指南 深度学习是计算密集型的,因此您需要具有多个内核的快速CPU,对吧?或者购买快速C…

最近在学深度学习相关的东西,在网上搜集到了一些不错的资料,现在汇总一下: Free Online Books  by Yoshua Bengio, Ian Goodfellow and Aaron Courville Neural Networks and Deep Learning42 by Michael Nielsen Deep Learning27 by Microsoft Research Deep Learning Tutorial23 by LISA lab, University…

转自:机器学习(Machine Learning)&深度学习(Deep Learning)资料 <Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机.神经网络.决策树.SVM.Adaboost到随机森林.Deep Learning. <Deep Learning in Neural Networks: An Overview> 介绍:这是瑞士人工智能实验室Jurgen Schmidhuber写的最…

转载:http://www.jianshu.com/p/b73b6953e849 该资源的github地址:Qix <Statistical foundations of machine learning> 介绍:<机器学习的统计基础>在线版,该手册希望在理论与实践之间找到平衡点,各主要内容都伴有实际例子及数据,书中的例子程序都是用R语言编写的. <A Deep Learning Tutorial: From Perceptrons to Deep Networks>…

<Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机.神经网络.决策树.SVM.Adaboost到随机森林.Deep Learning. <Deep Learning in Neural Networks: An Overview> 介绍:这是瑞士人工智能实验室Jurgen Schmidhuber写的最新版本<神经网络与深度学习综述>本综述的特点是以时间排序,从1940年开始讲起,到60-80…

DEEP LEARNING WITH STRUCTURE Charlie Tang is a PhD student in the Machine Learning group at the University of Toronto, working with Geoffrey Hinton and Ruslan Salakhutdinov, whose research interests include machine learning, computer vision and cogni…

Learning Deep Learning with Keras Piotr Migdał - blog Projects Articles Publications Resume About Photos Learning Deep Learning with Keras 30 Apr 2017 • Piotr Migdał • [machine-learning] [deep-learning] [overview] I teach deep learning both for a liv…

Research Guide for Video Frame Interpolation with Deep Learning This blog is from: https://heartbeat.fritz.ai/research-guide-for-video-frame-interpolation-with-deep-learning-519ab2eb3dda In this research guide, we’ll look at deep learning papers aime…

转自:https://github.com/terryum/awesome-deep-learning-papers Awesome - Most Cited Deep Learning Papers A curated list of the most cited deep learning papers (since 2010) I believe that there exist classic deep learning papers which are worth reading re…

About this Course If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "s…

深度学习加速器堆栈Deep Learning Accelerator Stack 通用张量加速器(VTA)是一种开放的.通用的.可定制的深度学习加速器,具有完整的基于TVM的编译器堆栈.设计了VTA来揭示主流深度学习加速器最显著和最常见的特征.TVM和VTA一起构成了一个端到端的软硬件深度学习系统堆栈,包括硬件设计.驱动程序.JIT运行时和基于TVM的优化编译器堆栈. VTA具有以下主要功能: 通用.模块化.开源硬件. 简化了部署到FPGA的工作流程. 模拟器支持原型编译通过常规工作站. 基于P…

Awesome Deep Learning  Table of Contents Free Online Books Courses Videos and Lectures Papers Tutorials Researchers WebSites Datasets Frameworks Miscellaneous Contributing Free Online Books Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Cou…

从13年11月初开始接触DL,奈何boss忙or 各种问题,对DL理解没有CSDN大神 比如 zouxy09等 深刻,主要是自己觉得没啥进展,感觉荒废时日(丢脸啊,这么久....)开始开文,即为记录自己是怎么一步一个逗比的走过的路的,也为了自己思维更有条理.请看客,轻拍,(如果有错,我会立马改正,谢谢大家的指正.==!其实有人看没人看都是个问题.哈哈) 推荐 tornadomeet 的博客园学习资料 http://www.cnblogs.com/tornadomeet/category/4976…

HOME ABOUT CONTACT SUBSCRIBE VIA RSS   DEEP LEARNING FOR ENTERPRISE Distributed Deep Learning, Part 1: An Introduction to Distributed Training of Neural Networks Oct 3, 2016 3:00:00 AM / by Alex Black and Vyacheslav Kokorin Tweet inShare27   This pos…

Main Menu Fortune.com       E-mail Tweet Facebook Linkedin Share icons By Roger Parloff Illustration by Justin Metz SEPTEMBER 28, 2016, 5:00 PM EDT WHY DEEP LEARNING IS SUDDENLY CHANGING YOUR LIFE Decades-old discoveries are now electrifying the comp…

Deep Learning in a Nutshell: Reinforcement Learning   Share: Posted on September 8, 2016by Tim Dettmers No CommentsTagged Deep Learning, Deep Neural Networks, Machine Learning,Reinforcement Learning This post is Part 4 of the Deep Learning in a Nutsh…

Machine and Deep Learning with Python Education Tutorials and courses Supervised learning superstitions cheat sheet Introduction to Deep Learning with Python How to implement a neural network How to build and run your first deep learning network Neur…

The Brain vs Deep Learning Part I: Computational Complexity — Or Why the Singularity Is Nowhere Near July 27, 2015July 27, 2015 Tim Dettmers Deep Learning, NeuroscienceDeep Learning, dendritic spikes, high performance computing, neuroscience, singula…

Why GEMM is at the heart of deep learning I spend most of my time worrying about how to make deep learning with neural networks faster and more power efficient. In practice that means focusing on a function called GEMM. It’s part of the BLAS (Basic L…

Growing Pains for Deep Learning Advances in theory and computer hardware have allowed neural networks to become a core part of online services such as Microsoft's Bing, driving their image-search and speech-recognition systems. The companies offering…

动人的DL我们有六个月的时间,积累了一定的经验,实验,也DL有了一些自己的想法和理解.曾经想扩大和加深DL相关方面的一些知识. 然后看到了一个MIT按有关的对出版物DL图书http://www.iro.umontreal.ca/~bengioy/dlbook/,所以就有了读一下这本书然后做点笔记攒点知识量的念头.这一系列的博客将是笔记型的,有什么写的不好之处还望广大博友见谅,也欢迎各位同行能指点一二. 这是本书的第一章,下面是个人感觉蛮重要的一些点: logistic regression ca…

Introduction Deep learning is a recent trend in machine learning that models highly non-linear representations of data. In the past years, deep learning has gained a tremendous momentum and prevalence for a variety of applications (Wikipedia 2016a).…

##机器学习(Machine Learning)&深度学习(Deep Learning)资料(Chapter 2)---#####注:机器学习资料[篇目一](https://github.com/ty4z2008/Qix/blob/master/dl.md)共500条,[篇目二](https://github.com/ty4z2008/Qix/blob/master/dl2.md)开始更新------#####希望转载的朋友**一定要保留原文链接**,因为这个项目还在继续也在不定期更新．希望看到…

Deep Learning(深度学习)学习笔记(不断更新): Deep Learning(深度学习)学习笔记之系列(一) 深度学习(Deep Learning)资料(不断更新):新增数据集,微信公众号写的更全些 为了您第一时间能获取到最新资料,请关注微信公众号:大数据技术宅 深度学习(Deep Learning)资料大全(不断更新) 相关Paper(不断更新) 笔者先从多个渠道整理了几篇,后续边看边更新. 1.Densely Connected Convolutional Networks 2.…

 Conclusions about Deep Learning with Python  Last night, I start to learn the python for deep learning research. It really confused me at the beginning. So, here is some conclusions about the hard beginning progress. If you have some more excellent…

What's the most effective way to get started with deep learning?       29 Answers     Yoshua Bengio, My lab has been one of the three that started the deep learning approach, back in 2006, along with Hinton's... Answered Jan 20, 2016   Originally Ans…

Ensemble Methods for Deep Learning Neural Networks to Reduce Variance and Improve Performance 2018-12-19 13:02:45 This blog is copied from: https://machinelearningmastery.com/ensemble-methods-for-deep-learning-neural-networks/ Deep learning neural ne…

[面向代码]学习 Deep Learning(二)Deep Belief Nets(DBNs) http://blog.csdn.net/dark_scope/article/details/9447967 分类: 机器学习2013-07-24 11:50 517人阅读 评论(5) 收藏 举报 目录(?)[-] DBNdbnsetupm DBNdbntrainm DBNrbmtrainm DBNdbnunfoldtonnm 总结 =================================…

A Brief Overview of Deep Learning (This is a guest post by Ilya Sutskever on the intuition behind deep learning as well as some very useful practical advice. Many thanks to Ilya for such a heroic effort!) Deep Learning is really popular these days. B…