置顶随笔

[置顶]Deep Reinforcement Learning

摘要: http://www.clipconverter.cc/ Reinforcement Learning--David Silver http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Teaching.html https://www.youtube.com/wa阅读全文

posted @ 2017-10-19 14:18 LEX123 阅读(98) 评论(1) 编辑

[置顶]How do I learn machine learning?

摘要: 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 Sc阅读全文

posted @ 2017-10-16 15:57 LEX123 阅读(3) 评论(0) 编辑

[置顶]What are some good books/papers for learning deep learning?

摘要: What's the most effective way to get started with deep learning? What's the most effective way to get started with deep learning? What's the most effe阅读全文

posted @ 2017-10-16 15:44 LEX123 阅读(4) 评论(0) 编辑

[置顶]why deep learning works

摘要: https://medium.com/towards-data-science/deep-learning-for-object-detection-a-comprehensive-review-73930816d8d9 【直观详解】什么是正则化 https://charlesliuyx.githu阅读全文

posted @ 2017-10-09 00:13 LEX123 阅读(12) 评论(0) 编辑

[置顶]名校课程&书籍 需要学习

摘要: http://www.deeplearningbook.org/ https://neuralnetworksanddeeplearning.com/chap3.html https://see.stanford.edu/Course/CS229/47 http://cs231n.stanford.阅读全文

posted @ 2017-10-07 22:05 LEX123 阅读(9) 评论(0) 编辑

[置顶]tensorflow

摘要: https://www.tensorflow.org/ https://web.stanford.edu/class/cs20si/syllabus.html instal in windows https://www.tensorflow.org/versions/r0.12/get_starte阅读全文

posted @ 2017-10-06 17:44 LEX123 阅读(3) 评论(0) 编辑

[置顶]数学、计算机经典书籍

摘要: Elements of Information Theory 2nd Edition http://coltech.vnu.edu.vn/~thainp/books/Wiley_-_2006_-_Elements_of_Information_Theory_2nd_Ed.pdf https://ww阅读全文

posted @ 2017-09-24 11:23 LEX123 阅读(9) 评论(0) 编辑

[置顶]机器学习(Machine Learning)&深度学习(Deep Learning)资料

摘要: 机器学习(Machine Learning)&深度学习(Deep Learning)资料(Chapter 1) 《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、D阅读全文

posted @ 2017-09-07 16:48 LEX123 阅读(20) 评论(0) 编辑

[置顶]微分,导数,积分

摘要: 马同学 重要 https://zh.wikipedia.org/wiki/%E5%BE%AE%E5%88%86 http://tutorial.math.lamar.edu/Classes/CalcI/ChainRule.aspx https://www.zhihu.com/question/286阅读全文

posted @ 2017-08-25 11:09 LEX123 阅读(10) 评论(0) 编辑

[置顶]neuralnetworksanddeeplearning books

摘要: https://deeplearning4j.org/neuralnet-overview http://cs231n.stanford.edu/syllabus.html Introduction to Neural Networks for Java, Second Edition http:/阅读全文

posted @ 2017-08-23 23:03 LEX123 阅读(30) 评论(0) 编辑

[置顶]CNN(卷积神经网络)、RNN(循环神经网络)、DNN,LSTM

摘要: Applied Deep Learning - Part 1: Artificial Neural Networks https://medium.com/towards-data-science/applied-deep-learning-part-1-artificial-neural-netw阅读全文

posted @ 2017-08-21 20:04 LEX123 阅读(27) 评论(1) 编辑

[置顶]查询优化器的算法

摘要: Avoiding Cartesian Products for Multiple Joins https://pdfs.semanticscholar.org/0cdc/5676bd1d4f8cf6fa3a0dcf18398116ea5f7d.pdf Avoiding Cartesian Produ阅读全文

posted @ 2017-06-30 16:15 LEX123 阅读(18) 评论(0) 编辑

[置顶]准备分享的技术

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posted @ 2017-06-30 15:08 LEX123 阅读(2) 评论(0) 编辑

[置顶]Flink papers

摘要: Around 2009 the Stratosphere research project started at the TU Berlin which a few years later was set to become the Apache Flink project. Often compa阅读全文

posted @ 2017-06-14 11:28 LEX123 阅读(6) 评论(0) 编辑

[置顶]Flink源码分析

摘要: https://ci.apache.org/projects/flink/flink-docs-release-1.3/internals/task_lifecycle.html https://www.slideshare.net/dataArtisans/flink-training-syste阅读全文

posted @ 2017-06-04 23:55 LEX123 阅读(49) 评论(1) 编辑

[置顶]Flink articles

摘要: http://ictlabs-summer-school.sics.se/2015/slides/flink-advanced.pdf http://henning.kropponline.de/2015/10/18/10-resources-for-deep-dive-into-apache-fl阅读全文

posted @ 2017-04-06 10:00 LEX123 阅读(45) 评论(0) 编辑

[置顶]MYSQL COST optimizer

摘要: http://blog.chinaunix.net/uid-26896862-id-3326400.html http://imcs.dvfu.ru/lib.int/docs/Databases/MySQL/MySQL%20Enterprise%20Solutions.pdf WL#7209: Ha阅读全文

posted @ 2017-03-30 10:07 LEX123 阅读(81) 评论(4) 编辑

[置顶]BOOKS

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posted @ 2017-03-17 13:00 LEX123 阅读(2) 评论(0) 编辑

[置顶]JIT编译器

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posted @ 2016-11-21 19:04 LEX123 阅读(37) 评论(0) 编辑

[置顶]Javac编译器

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posted @ 2016-11-20 22:59 LEX123 阅读(10) 评论(0) 编辑

2017年10月19日

机器学习算法

摘要: 机器学习笔记03:Normal equation与梯度下降的比较 机器学习笔记02:多元线性回归、梯度下降和Normal equation阅读全文

posted @ 2017-10-19 18:27 LEX123 阅读(2) 评论(0) 编辑

Deep Reinforcement Learning

摘要: http://www.clipconverter.cc/ Reinforcement Learning--David Silver http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Teaching.html https://www.youtube.com/wa阅读全文

posted @ 2017-10-19 14:18 LEX123 阅读(98) 评论(1) 编辑

2017年10月17日

regularization

摘要: https://www.zhihu.com/question/20924039 http://52opencourse.com/133/coursera%E5%85%AC%E5%BC%80%E8%AF%BE%E7%AC%94%E8%AE%B0-%E6%96%AF%E5%9D%A6%E7%A6%8F%阅读全文

posted @ 2017-10-17 16:35 LEX123 阅读(2) 评论(0) 编辑

What-are-prerequisites-for-learning-Artificial-Intelligence

摘要: https://www.quora.com/What-are-prerequisites-for-learning-Artificial-Intelligence阅读全文

posted @ 2017-10-17 11:39 LEX123 阅读(3) 评论(0) 编辑

2017年10月16日

How do I learn machine learning?

摘要: 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 Sc阅读全文

posted @ 2017-10-16 15:57 LEX123 阅读(3) 评论(0) 编辑

What are some good books/papers for learning deep learning?

摘要: What's the most effective way to get started with deep learning? What's the most effective way to get started with deep learning? What's the most effe阅读全文

posted @ 2017-10-16 15:44 LEX123 阅读(4) 评论(0) 编辑

NLP

摘要: https://www.oreilly.com/learning/perform-sentiment-analysis-with-lstms-using-tensorflow阅读全文

posted @ 2017-10-16 14:19 LEX123 阅读(1) 评论(0) 编辑

2017年10月13日

Quantum Computation and Quantum Information

摘要: https://www.amazon.com/Quantum-Computation-Information-10th-Anniversary/dp/1107002176/ref=asap_bc?ie=UTF8阅读全文

posted @ 2017-10-13 17:26 LEX123 阅读(2) 评论(0) 编辑

插入数学公式。

摘要: http://blog.sina.com.cn/s/blog_61f013b80101ccvv.html http://www.forkosh.com/mathtextutorial.html阅读全文

posted @ 2017-10-13 17:17 LEX123 阅读(3) 评论(0) 编辑

2017年10月9日

Why-are-GPUs-well-suited-to-deep-learning

摘要: https://www.quora.com/Why-are-GPUs-well-suited-to-deep-learning http://timdettmers.com/2015/03/09/deep-learning-hardware-guide/ http://timdettmers.com阅读全文

posted @ 2017-10-09 16:39 LEX123 阅读(2) 评论(0) 编辑

高数

摘要: https://www.khanacademy.org/math/linear-algebra阅读全文

posted @ 2017-10-09 10:14 LEX123 阅读(2) 评论(0) 编辑

why deep learning works

摘要: https://medium.com/towards-data-science/deep-learning-for-object-detection-a-comprehensive-review-73930816d8d9 【直观详解】什么是正则化 https://charlesliuyx.githu阅读全文

posted @ 2017-10-09 00:13 LEX123 阅读(12) 评论(0) 编辑

2017年10月7日

名校课程&书籍 需要学习

摘要: http://www.deeplearningbook.org/ https://neuralnetworksanddeeplearning.com/chap3.html https://see.stanford.edu/Course/CS229/47 http://cs231n.stanford.阅读全文

posted @ 2017-10-07 22:05 LEX123 阅读(9) 评论(0) 编辑

2017年10月6日

tensorflow

摘要: https://www.tensorflow.org/ https://web.stanford.edu/class/cs20si/syllabus.html instal in windows https://www.tensorflow.org/versions/r0.12/get_starte阅读全文

posted @ 2017-10-06 17:44 LEX123 阅读(3) 评论(0) 编辑

2017年10月2日

Lecture Notes on Static Analysis

摘要: http://www.itu.dk/people/brabrand/static.pdf阅读全文

posted @ 2017-10-02 18:04 LEX123 阅读(1) 评论(0) 编辑

2017年9月28日

double pointer pointers array

摘要: https://stackoverflow.com/questions/33746434/double-pointer-vs-array-of-pointersarray-vs-array阅读全文

posted @ 2017-09-28 16:14 LEX123 阅读(7) 评论(0) 编辑

2017年9月25日

what-is-a-closure

摘要: https://stackoverflow.com/questions/36636/what-is-a-closure https://www.quora.com/What-are-upvalues-in-Lua http://www.cs.tufts.edu/~nr/cs257/archive/r阅读全文

posted @ 2017-09-25 15:02 LEX123 阅读(9) 评论(0) 编辑

2017年9月24日

Redis source code analysis

摘要: http://zhangtielei.com/posts/blog-redis-dict.html http://zhangtielei.com/assets/photos_redis/redis_dict_structure.png https://github.com/antirez/redis阅读全文

posted @ 2017-09-24 23:44 LEX123 阅读(2) 评论(0) 编辑

数学、计算机经典书籍

摘要: Elements of Information Theory 2nd Edition http://coltech.vnu.edu.vn/~thainp/books/Wiley_-_2006_-_Elements_of_Information_Theory_2nd_Ed.pdf https://ww阅读全文

posted @ 2017-09-24 11:23 LEX123 阅读(9) 评论(0) 编辑

2017年9月22日

Lua官方文档与源码分析

摘要: https://www.lua.org/source/5.3/ http://www.cppblog.com/airtrack/archive/2012/09/19/191233.html https://github.com/lichuang/Lua-Source-Internal/blob/ma阅读全文

posted @ 2017-09-22 11:21 LEX123 阅读(12) 评论(0) 编辑

2017年9月20日

redis

摘要: http://www.cnblogs.com/papertree/p/7159802.html阅读全文

posted @ 2017-09-20 23:40 LEX123 阅读(9) 评论(0) 编辑

文章查询优化器分析

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posted @ 2017-09-20 17:39 LEX123 阅读(0) 评论(0) 编辑

2017年9月19日

MYSQL Range

摘要: http://www.orczhou.com/index.php/2012/12/mysql-source-code-optimizer-range-and-ref/ http://www.orczhou.com/index.php/2012/11/mysql-source-code-range-o阅读全文

posted @ 2017-09-19 16:09 LEX123 阅读(2) 评论(0) 编辑

微积分 线程代数

摘要: 向量点乘的 x1x2 + y1y2 与 |a||b|cosθ 是如何联系起来的? https://www.zhihu.com/question/29039728 数量积 https://zh.wikipedia.org/wiki/%E6%95%B0%E9%87%8F%E7%A7%AF 如何直观形象的阅读全文

posted @ 2017-09-19 10:36 LEX123 阅读(3) 评论(0) 编辑

2017年9月15日

Safe point

摘要: JVM源码分析之安全点safepoint http://www.jianshu.com/p/c79c5e02ebe6 聊聊JVM(六)理解JVM的safepoint 聊聊JVM(九)理解进入safepoint时如何让Java线程全部阻塞 GC safe-point (or safepoint) an阅读全文

posted @ 2017-09-15 21:48 LEX123 阅读(4) 评论(0) 编辑

2017年9月14日

JVM 源码分析

摘要: http://hsmemo.github.io/toc.html https://translate.google.com.hk/translate?act=url&hl=zh-CN&ie=UTF8&prev=_t&sl=auto&tl=zh-CN&u=http://hsmemo.github.io阅读全文

posted @ 2017-09-14 10:38 LEX123 阅读(2) 评论(0) 编辑

2017年9月10日

GGGGCCCC

摘要: https://www.slideshare.net/AndreiPangin/everything-you-wanted-to-know-about-stack-traces-and-heap-dumps http://lovestblog.cn/blog/2016/04/19/stack-ove阅读全文

posted @ 2017-09-10 15:28 LEX123 阅读(8) 评论(0) 编辑

2017年9月8日

G1 ,CMS

该文被密码保护。

posted @ 2017-09-08 18:45 LEX123 阅读(12) 评论(0) 编辑

2017年9月7日

机器学习(Machine Learning)&深度学习(Deep Learning)资料

摘要: 机器学习(Machine Learning)&深度学习(Deep Learning)资料(Chapter 1) 《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、D阅读全文

posted @ 2017-09-07 16:48 LEX123 阅读(20) 评论(0) 编辑

正则化(Regularization)、过拟合(Overfitting)

摘要: http://blog.csdn.net/artprog/article/details/51278643阅读全文

posted @ 2017-09-07 16:40 LEX123 阅读(3) 评论(0) 编辑

名校课程

摘要: http://cs231n.github.io/阅读全文

posted @ 2017-09-07 00:51 LEX123 阅读(11) 评论(0) 编辑

2017年9月6日

jni&&jvmti&&JMC

摘要: jni&&jvmti http://docs.oracle.com/javase/8/docs/technotes/guides/jni/spec/functions.html http://docs.oracle.com/javase/8/docs/platform/jvmti/jvmti.htm阅读全文

posted @ 2017-09-06 10:50 LEX123 阅读(5) 评论(0) 编辑

2017年9月3日

Backpropagation

摘要: http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/ https://alonalj.github.io阅读全文

posted @ 2017-09-03 21:25 LEX123 阅读(13) 评论(0) 编辑

2017年9月1日

k-means-algorithm

摘要: https://zh.coursera.org/learn/machine-learning/lecture/93VPG/k-means-algorithm阅读全文

posted @ 2017-09-01 20:32 LEX123 阅读(6) 评论(0) 编辑

support-vector-machines-svm

摘要: https://monkeylearn.com/blog/introduction-to-support-vector-machines-svm/ https://www.zhihu.com/question/21094489阅读全文

posted @ 2017-09-01 18:52 LEX123 阅读(14) 评论(0) 编辑

Bayesian Networks

摘要: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/tr-95-06.pdf阅读全文

posted @ 2017-09-01 16:41 LEX123 阅读(14) 评论(0) 编辑

learning-rate-in-neural-networks

摘要: https://www.quora.com/What-is-the-learning-rate-in-neural-networks阅读全文

posted @ 2017-09-01 14:41 LEX123 阅读(14) 评论(0) 编辑

google dataflow

摘要: https://cloud.google.com/dataflow/阅读全文

posted @ 2017-09-01 14:33 LEX123 阅读(9) 评论(0) 编辑

online learning

摘要: http://www.mit.edu/~rakhlin/6.883/ https://homes.cs.washington.edu/~icano/projects/asml.pdf ftp://ftp.sas.com/pub/neural/FAQ2.html#A_styles_batch_vs_i阅读全文

posted @ 2017-09-01 13:37 LEX123 阅读(6) 评论(0) 编辑

JVM profiler tools

摘要: http://docs.oracle.com/javase/7/docs/technotes/samples/hprof.html https://codeascraft.com/2015/05/12/four-months-of-statsd-jvm-profiler-a-retrospectiv阅读全文

posted @ 2017-09-01 10:01 LEX123 阅读(8) 评论(0) 编辑

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