https://www.ted.com/talks/lydia_machova_the_secrets_of_learning_a_new_language/transcript 00:13I love learning foreign languages. In fact, I love it so much that I like to learn a new language every two years, currently working on my eighth one. When…

第一次写这么多英文~~对照双语字幕整理的~~ 这是我很喜欢的一个演讲~~ 让我们一起学英文吧 l  I love learning foreign languages. l  In fact, I love it so much that I like to learn a new language every two years, currently working on my eighth one. l  When people find that out about me, they al…

Focus, Follow, and Forward Stanford CS224d 课程笔记 Lecture1 Stanford CS224d 课程笔记 Lecture1 Stanford大学在2015年开设了一门Deep Learning for Natural Language Processing的课程,广受好评.并在2016年春季再次开课.我将开始这门课程的学习,并做好每节课的课程笔记放在博客上.争取做到每周一更吧.本文是第一篇. NLP简介 NLP,全名Natural Languag…

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…

A note on matrix implementations 将J对softmax的权重W和每一个word vector进行求导: 尽量使用矩阵运算(向量化).不要使用for loop. 模型训练中有两个开销比較大的运算:矩阵乘法f=Wx和指数函数exp Softmax(=logistic regression) is not very powerful softmax仅仅是在原来的向量空间中给出了一些linear decision boundary(线性决策线),在小的数据集上有非常好的r…

第二节课  寄存器 1. 寄存器的定义: 进行信息储存的器件,是CPU中程序员可以读写的部件,通过改变各种寄存器中的内容来实现对CPU的控制 2. 寄存器的种类: 本节课学习通用寄存器和段寄存器 2.1 通用寄存器 8086CPU中,所有的寄存器都是16位的,可以存放两个字节.AX,BX,CX,DX这四个寄存器通常用来存放一般性的数据,被称为通用寄存器. 8086CPU的上一代CPU中的寄存器都是8位的,为了保证兼容,AX,BX,CX,DX这四个寄存器都可以分为两个8位的小寄存器来用.8086C…

第一节课学习汇编语言,做笔记,做笔记 1.概念 首先是汇编语言这门课程的定义以及对于学习高级语言.深入理解计算机系统的作用 软硬件接口机器语言 汇编语言 高级语言 关系 机器语言和汇编语言可移植性差   机器语言为二进制码,而汇编语言是对机器语言的集合.抽象,而高级语言是对汇编语言的抽象,故不考虑优化,而在效率上,机器语言最高,汇编其次,高级语言最低我们学习的主要是x86指令集   2.学习过程笔记首先了解硬件结构,尤其是cpu和内存汇编语言所写的程序效率极高,比高级语言高,比机器语言低机器语言…

http://delivery.acm.org/10.1145/220000/218367/p543-brill.pdf?ip=116.30.5.154&id=218367&acc=OPEN&key=4D4702B0C3E38B35.4D4702B0C3E38B35.4D4702B0C3E38B35.6D218144511F3437&CFID=763856971&CFTOKEN=66313413&acm=1495021097_b5bf093135456075…

"Learning a language is easy. Even a child can do it!" Most adults who are learning a second language would disagree with this statement. For them, learning a language is a very difficult task. They need hundreds of hours of study and practice,…

昨天总结了深度学习的资料,今天把机器学习的资料也总结一下(友情提示:有些网站需要"科学上网"^_^) 推荐几本好书: 1.Pattern Recognition and Machine Learning (by Hastie, Tibshirani, and Friedman's ) 2.Elements of Statistical Learning(by Bishop's) 这两本是英文的,但是非常全,第一本需要有一定的数学基础,第可以先看第二本.如果看英文觉得吃力,推荐看一下下面…

转自:http://www.jeremydjacksonphd.com/category/deep-learning/ Deep Learning Resources Posted on May 13, 2015   Videos Deep Learning and Neural Networks with Kevin Duh: course page NY Course by Yann LeCun: 2014 version, 2015 version NIPS 2015 Deep Learn…

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…

Deep Learning in a Nutshell: History and Training This series of blog posts aims to provide an intuitive and gentle introduction to deep learning that does not rely heavily on math or theoretical constructs. The first part in this series provided an…

<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…

几个不错的深度学习教程,基本都有视频和演讲稿.附两篇综述文章和一副漫画.还有一些以后补充. Jeff Dean 2013 @ Stanford http://i.stanford.edu/infoseminar/dean.pdf 一个对DL能干什么的入门级介绍,主要涉及Google在语音识别.图像处理和自然语言处理三个方向上的一些应用.参<Spanner and Deep Learning>(2013-01-19) Hinton 2009 A tutorial on Deep Learning…

<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…

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…

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…

It’s been a year since I revealed the best languages to learn in 2013. Once again, I’ve examined the data produced by Jobs Tractor who analyzed more than 45,000 developer jobs advertised on Twitter during the past twelve months. The results: Java 8,7…

http://www.datasciencecentral.com/profiles/blogs/collection-of-svm-libraries-by-language Support vector machines (SVMs) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classificati…

Deep Learning for NLP 文章列举 原文链接:http://www.xperseverance.net/blogs/2013/07/2124/   大部分文章来自: http://www.socher.org/ http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial 包括从他们里面的论文里找到的related work   Word Embedding Learnig SENNA原始论文[ACL'07]Fas…

常用的deep learning frameworks 基本转自:http://www.codeceo.com/article/10-open-source-framework.html 1. Caffe 基于C++开发 2. Theano 大部分代码是使用CYthon开发的,主页有很详细的教程,在github上有Theano的软件包,另外还有一份pdf的tutorial 基于theano派生了许多的深度学习python软件包:Keras(documents).Lasagne(documents…

Deep Learning for Natural Language Processing (without Magic) http://nlp.stanford.edu/courses/NAACL2013/ http://nlp.stanford.edu/projects/DeepLearningInNaturalLanguageProcessing.shtml Deep Learning in NLP (一)词向量和语言模型 http://licstar.net/archives/328…

Machine Learning and Data Mining Lecture 1 1. The learning problem - Outline     1.1 Example of machine learning Predicting how a viewer will rate a moive? 10% improvement = 1 million dollar prize The essence of machine learning: A pattern exists We…

Contents Tutorial Hello, World Command-Line Arguments Finding Duplicate Lines A Web Server Loose Ends Program Structure Names Declarations Variables Assignments Type Declarations Packages and Files Scope Basic Data Types Integers Floating-Point Numbe…

https://www.quora.com/How-do-I-learn-machine-learning-1?redirected_qid=6578644   How Can I Learn X? Learning Machine Learning Learning About Computer Science Educational Resources Advice Artificial Intelligence How-to Question Learning New Things Lea…

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…

A Summary of Multi-task Learning author by Yubo Feng. Intro In this paper[0], the introduction of multi-task learning through the data hungry, the most common problem of Deep Learning[1]. Basic assumption: tasks are related. MTL mimic human learning…

Learning how to Active Learn: A Deep Reinforcement Learning Approach 2018-03-11 12:56:04 1. Introduction: 对于大部分 NLP 的任务,得到足够的标注文本来进行模型的训练是一个关键的瓶颈.所以,active learning 被引入到 NLP 任务中以最小化标注数据的代价.AL 的目标是通过识别一小部分数据来进行标注,以此来降低 cost,选来最小化监督模型的精度. 毫无疑问的是,AL 对于其…

原文链接:http://www.xperseverance.net/blogs/2013/07/2124/   大部分文章来自: http://www.socher.org/ http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial 包括从他们里面的论文里找到的related work   Word Embedding Learnig SENNA原始论文[ACL'07]Fast Semantic Extraction Using…