Interested in .NET&Java platform,CLR and JVM internal,C# ,JIT compiler,software architecture design,windows kernel/CLR debugging skills,SQL Server 、MySQL,Database architecture、Query Optimization、troubleshooting and high availability, parallel/multi-threaing programming,distributed computing,cloud computing ,Apache Storm, Spark, Flink,Machine Learning, Deep Learning ,TensorFlow and all AI related things.

随笔分类 - AI

gradient-descent

摘要：http://ruder.io/optimizing-gradient-descent/ https://www.quora.com/Whats-the-difference-between-gradient-descent-and-stochastic-gradient-descent https 阅读全文

posted @ 2018-02-20 21:33 暖风的风阅读(481) 评论(0) 推荐(0) 编辑

Speech and Language Processing, NLP 处理

摘要：https://www.amazon.com/Speech-Language-Processing-Daniel-Jurafsky/dp/0131873210 http://web.stanford.edu/~jurafsky/slp3/ http://www.nltk.org/book/ http 阅读全文

posted @ 2018-02-19 17:39 暖风的风阅读(196) 评论(0) 推荐(0) 编辑

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

摘要：https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers 阅读全文

posted @ 2018-02-19 17:36 暖风的风阅读(173) 评论(0) 推荐(0) 编辑

Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python

摘要：https://www.amazon.com/Pro-Deep-Learning-TensorFlow-Mathematical/dp/1484230957 http://download.csdn.net/download/u011433684/10179236 阅读全文

posted @ 2018-02-19 17:29 暖风的风阅读(413) 评论(0) 推荐(0) 编辑

distill 来自google，openai，deepmind，YC research

摘要：https://distill.pub/ https://colah.github.io/ 阅读全文

posted @ 2018-01-12 13:03 暖风的风阅读(265) 评论(0) 推荐(0) 编辑

Natural Language Processing 课程，文章，论文

摘要：CS224n: Natural Language Processing with Deep Learning http://cs224d.stanford.edu/syllabus.html https://web.stanford.edu/class/cs224n/syllabus.html 论文阅读全文

posted @ 2017-12-27 16:07 暖风的风阅读(161) 评论(0) 推荐(0) 编辑

如何高效的学习 TensorFlow 代码? 以及TensorFlow相关的论文

摘要：https://www.zhihu.com/question/41667903 源码分析 http://www.cnblogs.com/yao62995/p/5773578.html 如何贡献TensorFlow代码 https://github.com/DjangoPeng/tensorflow/ 阅读全文

posted @ 2017-12-06 10:19 暖风的风阅读(218) 评论(0) 推荐(0) 编辑

Backpropagation In Convolutional Neural Networks

摘要：http://www.jefkine.com/general/2016/09/05/backpropagation-in-convolutional-neural-networks/ http://web.eecs.utk.edu/~zzhang61/docs/reports/2016.10%20- 阅读全文

posted @ 2017-11-22 17:39 暖风的风阅读(270) 评论(0) 推荐(0) 编辑

深度学习领域的Papers

摘要：https://github.com/songrotek/Deep-Learning-Papers-Reading-Roadmap 深度学习论文阅读路线图 Deep Learning Papers Reading Roadmap https://zhuanlan.zhihu.com/p/230801 阅读全文

posted @ 2017-11-09 10:55 暖风的风阅读(510) 评论(0) 推荐(0) 编辑

How do I learn mathematics for machine learning?

摘要：https://www.quora.com/How-do-I-learn-mathematics-for-machine-learning How do I learn mathematics for machine learning? https://www.quora.com/How-do-I- 阅读全文

posted @ 2017-11-07 10:49 暖风的风阅读(961) 评论(0) 推荐(0) 编辑

PCA,SVD

摘要：PCA的数学原理 https://www.zhihu.com/question/34143886/answer/196294308 奇异值分解的揭秘（二）：降维与奇异向量的意义奇异值分解的揭秘（一）：矩阵的奇异值分解过程浅谈张量分解（三）：如何对稀疏矩阵进行奇异值分解？如何直观地理解「协方差矩阅读全文

posted @ 2017-11-02 18:14 暖风的风阅读(535) 评论(0) 推荐(0) 编辑

【机器学习Machine Learning】资料大全

摘要：转【机器学习Machine Learning】资料大全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, Tibshira 阅读全文

posted @ 2017-10-31 14:27 暖风的风阅读(956) 评论(0) 推荐(0) 编辑

10-free-must-read-books-machine-learning-data-science

摘要：Spring. Rejuvenation. Rebirth. Everything’s blooming. And, of course, people want free ebooks. With that in mind, here's a list of 10 free machine lea 阅读全文

posted @ 2017-10-30 13:59 暖风的风阅读(309) 评论(0) 推荐(0) 编辑

Adventures in deep learning

摘要：转：https://github.com/GKalliatakis/Adventures-in-deep-learning Adventures in deep learning State-of-the-art Deep Learning publications, frameworks & re 阅读全文

posted @ 2017-10-30 13:48 暖风的风阅读(269) 评论(0) 推荐(0) 编辑

learning-ai-if-you-suck-at-math

摘要：https://hackernoon.com/learning-ai-if-you-suck-at-math-8bdfb4b79037 https://hackernoon.com/tagged/ai-if-you-suck-at-math 阅读全文

posted @ 2017-10-30 11:27 暖风的风阅读(290) 评论(0) 推荐(0) 编辑

deep-learning-with-python --the author of keres

摘要：https://www.manning.com/books/deep-learning-with-python 阅读全文

posted @ 2017-10-30 11:22 暖风的风阅读(213) 评论(0) 推荐(0) 编辑

贝叶斯机器学习路线图

摘要：转： http://www.cnblogs.com/bayesianML/p/6377588.html#central_problem 这是一份贝叶斯机器学习路线图, 正在不断更新中. 路线图由简短的介绍配以相应的学习资源组成, 读者不一定要按顺序学习, 可以直接定位到自己需要的地方. 很多时候, 阅读全文

posted @ 2017-10-30 10:12 暖风的风阅读(790) 评论(0) 推荐(0) 编辑

【深度学习Deep Learning】资料大全

摘要：转：【深度学习Deep Learning】资料大全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 Courses Video and Lectures Papers Tutorials WebSites Datasets Framewo 阅读全文

posted @ 2017-10-27 14:29 暖风的风阅读(1178) 评论(0) 推荐(0) 编辑

Why does deep learning work?

摘要：Learning Deep Architectures for AI By Yoshua Bengio http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf https://deeplearning4j.org/restrictedbol 阅读全文

posted @ 2017-10-25 17:43 暖风的风阅读(678) 评论(2) 推荐(0) 编辑

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 暖风的风阅读(174) 评论(0) 推荐(0) 编辑

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