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…

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…

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…

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…

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://dataunion.org/8463.html?utm_source=tuicool&utm_medium=referral <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…

机器学习(Machine Learning)&深度学习(Deep Learning)资料 機器學習.深度學習方面不錯的資料,轉載. 原作:https://github.com/ty4z2008/Qix/blob/master/dl.md 原作作者會不斷更新.本文更新至2014-12-21 <Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍非常全面.从感知机.神经网络.决策树.SVM.Adaboost到随机森林.Deep L…

<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…

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…