目录 0. 摘要 1. 简介 2. 背景 3. 设计原则 4. 针对易用性的核心设计 4.1 让深度学习模块不过是Python程序 4.2 互用性和可拓展性 4.3 自动差分 5. 针对高性能的PyTorch实现 5.1 高效的C++核 5.2 分而治之 5.3 定制的张量分配缓存 5.4 多进程 5.5 Reference counting 终于可以引用PyTorch了! 0. 摘要 深度学习框架要么关注易用性,要么关注速度,很少同时关注二者.但PyTorch作为一个机器学习库,同时做到了这两…

BigDL: Distributed Deep Learning on Apache Spark What is BigDL? BigDL is a distributed deep learning library for Apache Spark; with BigDL, users can write their deep learning applications as standard Spark programs, which can directly run on top of e…

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…

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…

Can deep learning help you find the perfect girl? One of the first things I did when I moved to Montreal was installing Tinder. For those of you not familiar with the online meat market, Tinder is a dating app showing nearby users you can like or dis…

In recent years, there’s been a resurgence in the field of Artificial Intelligence. It’s spread beyond the academic world with major players like Google, Microsoft, and Facebook creating their own research teams and making some impressive acquisition…

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…

Top Deep Learning Projects A list of popular github projects related to deep learning (ranked by stars). Last Update: 2016.08.09 Project Name Stars Description TensorFlow 29622              Computation using data flow graphs for scalable machine lear…

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…

Deep Learning Libraries by Language Tweet         Python Theano is a python library for defining and evaluating mathematical expressions with numerical arrays. It makes it easy to write deep learning algorithms in python. On the top of the Theano man…

Summary on deep learning framework --- PyTorch  Updated on 2018-07-22 21:25:42  import osos.environ["CUDA_VISIBLE_DEVICES"]="4" 1. install the pytorch version 0.1.11  ## Version 0.1.11 ## python2.7 and cuda 8.0 sudo pip install http://…

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…

Deep Learning 方向的部分 Paper ,自用.一 RNN 1 Recurrent neural network based language model RNN用在语言模型上的开山之作 2 Statistical Language Models Based on Neural Networks Mikolov的博士论文,主要将他在RNN用在语言模型上的工作进行串联 3 Extensions of Recurrent Neural Network Language Model 开山之…

转载 http://hi.baidu.com/chb_seaok/item/6307c0d0363170e73cc2cb65 个人阅读的Deep Learning方向的paper整理,分了几部分吧,但有些部分是有交叉或者内容重叠,也不必纠结于这属于DNN还是CNN之类,个人只是大致分了个类.目前只整理了部分,剩余部分还会持续更新. 一 RNN 1 Recurrent neural network based language model RNN用在语言模型上的开山之作 2 Statistical…

大家都清楚神经网络在上个世纪七八十年代是着实火过一回的,尤其是后向传播BP算法出来之后,但90年代后被SVM之类抢了风头,再后来大家更熟悉的是SVM.AdaBoost.随机森林.GBDT.LR.FTRL这些概念.究其原因,主要是神经网络很难解决训练的问题,比如梯度消失.当时的神经网络研究进入一个低潮期,不过Hinton老人家坚持下来了. 功夫不负有心人,2006年Hinton和学生发表了利用RBM编码的深层神经网络的Science Paper:Reducing the Dimensionalit…

Deep Learning: Assuming a deep neural network is properly regulated, can adding more layers actually make the performance degrade? I found this to be really puzzling. A deeper NN is supposed to be more powerful or at least equal to a shallower NN. I…

(一)Highway Networks 与 Deep Networks 的关系 理论实践表明神经网络的深度是至关重要的,深层神经网络在很多方面都已经取得了很好的效果,例如,在1000-class ImageNet数据集上的图像分类任务通过利用深层神经网络把准确率从84%提高到了95%,然而,在训练深层神经网络的时候却是非常困难的,神经网络的层数越多,存在的问题也就越多(例如大家熟知的梯度消失.梯度爆炸问题,下文会详细讲解).训练起来也就是愈加困难,这是一个公认的难题. 2015年由Rupesh…

PyTorch Prerequisites - Syllabus for Neural Network Programming Series PyTorch先决条件 - 神经网络编程系列教学大纲 每个人都在发生什么事?欢迎来到PyTorch神经网络编程系列. 在这篇文章中,我们将看看做好最佳准备所需的先决条件. 我们将对该系列进行概述,并对我们将要开展的项目进行预览. 这将使我们对我们将要学习什么以及在系列结束时我们将拥有哪些技能有一个很好的了解. 不用多说,让我们直接了解细节. 此系列需要两个…

如何提高深度学习性能 20 Tips, Tricks and Techniques That You Can Use ToFight Overfitting and Get Better Generalization How can you get better performance from your deep learning model? It is one of the most common questions I get asked. It might be asked as: H…

文章链接:https://arxiv.org/pdf/1509.06451.pdf 1.关于人脸检测的一些小小总结(Face Detection by Literature) (1)Multi-view Face Detection Using Deep Convolutional Neural Network Train face classifier with face (> 0.5 overlap) and background (<0.5 overlap) images. Comput…

来源:http://blog.csdn.net/abcjennifer/article/details/7804962 无监督学习近年来很热,先后应用于computer vision, audio classification和 NLP等问题,通过机器进行无监督学习feature得到的结果,其accuracy大多明显优于其他方法进行training.本文将主要针对Andrew的unsupervised learning,结合他的视频:unsupervised feature learning b…

Motivation: The lack of transparency of the deep  learning models creates key barriers to establishing trusts to the model or effectively troubleshooting classification errors Common methods on non-security applications: forward propagation / back pr…

 1. 直接上手篇 台湾李宏毅教授写的,<1天搞懂深度学习> slideshare的链接: http://www.slideshare.net/tw_dsconf/ss-62245351?qid=108adce3-2c3d-4758-a830-95d0a57e46bc&v=&b=&from_search=3 网盘下载链接:http://pan.baidu.com/s/1nv54p9R     密码:3mty. 中文在线课程:Hung-yi Lee (http://spe…

Applied Deep Learning Resources A collection of research articles, blog posts, slides and code snippets about deep learning in applied settings. Including trained models and simple methods that can be used out of the box. Mainly focusing on Convoluti…

Understanding Convolution in Deep Learning Convolution is probably the most important concept in deep learning right now. It was convolution and convolutional nets that catapulted deep learning to the forefront of almost any machine learning task the…

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…

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…

 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…

Image Registration is a fundamental step in Computer Vision. In this article, we present OpenCV feature-based methods before diving into Deep Learning. What is Image Registration? Image registration is the process of transforming different images of…

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…