<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[会说话的机器狗]]></title><description><![CDATA[机器学习，自然语言处理和深度学习]]></description><link>https://blog.youkuaiyun.com/CrazyTensor</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; CrazyTensor]]></copyright><item><title><![CDATA[NLP资料整理]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/105622518</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/105622518</guid><author>CrazyTensor</author><pubDate>Sun, 19 Apr 2020 21:29:44 +0800</pubDate><description><![CDATA[Books

Speech and Language Processing,Dan Jurafsky.



视频课程

CS224n: Natural Language Processing with Deep Learning (2019): website, video

CMU11-747 Neural Networks for NLP (2020): website, video
...]]></description><category></category></item><item><title><![CDATA[2020重新启航]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/104093707</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/104093707</guid><author>CrazyTensor</author><pubDate>Mon, 27 Jan 2020 16:44:45 +0800</pubDate><description><![CDATA[精读Paper&amp;Book

201712 - Transformer - Attention Is All You Need
201810 - BERT - Pre-training of Deep Bidirectional Transformers for Language Understanding
201907 - RoBERTa - A Robustly Optimized BE...]]></description><category></category></item><item><title><![CDATA[Tensorflow 2.0 学习资料]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/102292065</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/102292065</guid><author>CrazyTensor</author><pubDate>Mon, 07 Oct 2019 16:44:45 +0800</pubDate><description><![CDATA[A machine learning platform from the future.
A core principle of Keras is “progressive disclosure of complexity”: it’s easy to get started, and you can gradually dive into workflows where you write mo...]]></description><category></category></item><item><title><![CDATA[Top 2 Language Models]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/93630857</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/93630857</guid><author>CrazyTensor</author><pubDate>Tue, 25 Jun 2019 16:45:39 +0800</pubDate><description><![CDATA[ULMFiT/AWD-LSTM
2018年语言模型预训练特定任务迁移学习的nlp新范式开始成为主流，ULMFiT(Universal Language Model Fine-tuning for Text Classification)是开山鼻祖之一。模型流程如下，包括基础语言模型训练，目标语言模型迁移，分类器微调，语言模型是基于AWD-LSTM(Regularizing and Optimizi...]]></description><category></category></item><item><title><![CDATA[NLP Topic 1 Word Embeddings and Sentence Embeddings]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/89314853</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/89314853</guid><author>CrazyTensor</author><pubDate>Mon, 15 Apr 2019 16:37:07 +0800</pubDate><description><![CDATA[Topic 1 Word Embeddings and Sentence Embeddings
cs224n-2019

lecture 1: Introduction and Word Vectors 
lecture 2: Word Vectors 2 and Word Senses
slp
chapter 6: Vector Semantics
ruder.io/word-embedding...]]></description><category></category></item><item><title><![CDATA[个人技术栈构建]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/89293570</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/89293570</guid><author>CrazyTensor</author><pubDate>Sun, 14 Apr 2019 11:43:48 +0800</pubDate><description><![CDATA[这里写自定义目录标题
Reinforcement Learning
UCL RL
学完要画一张nlp脑图




进度
Topic
cs224n
slp3
others




0414
nlp basics: math and optimizers
lecture 0




0414
Word Vectors
lecture 1: Introduction and Word Vectors  ...]]></description><category></category></item><item><title><![CDATA[数学基础 Probability Theory]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/81057821</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/81057821</guid><author>CrazyTensor</author><pubDate>Sun, 15 Jul 2018 22:15:54 +0800</pubDate><description><![CDATA[基础知识



概率的定义 Axioms of Probability:


Sample space ΩΩ\Omega: The set of all the outcomes of a random experiment.
Set of events(or event space) F\mathcal{F}: where each event A∈A∈FA \in \mathcal{F} ...]]></description><category></category></item><item><title><![CDATA[MIT18.06学习笔记 - Lecture 10: The four fundamental subspaces]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/81044211</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/81044211</guid><author>CrazyTensor</author><pubDate>Sat, 14 Jul 2018 15:34:54 +0800</pubDate><description><![CDATA[这个系列文章是我重温Gilbert老爷子的线性代数在线课程的学习笔记。  
Course Name：MIT 18.06 Linear Algebra 
Text Book: Introduction to  Linear Algebra 
章节内容: 3.2-3.3



课程提纲 
1. Matrix Multiplication (5 ways)  
2. The laws for Matri...]]></description><category></category></item><item><title><![CDATA[MIT18.06学习笔记 - Lecture 9: Independence, basis and dimension]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/81044195</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/81044195</guid><author>CrazyTensor</author><pubDate>Sat, 14 Jul 2018 15:33:38 +0800</pubDate><description><![CDATA[这个系列文章是我重温Gilbert老爷子的线性代数在线课程的学习笔记。  
Course Name：MIT 18.06 Linear Algebra 
Text Book: Introduction to  Linear Algebra 
章节内容: 3.2-3.3



课程提纲 
1. Matrix Multiplication (5 ways)  
2. The laws for Matri...]]></description><category></category></item><item><title><![CDATA[MIT18.06学习笔记 - Lecture 8: Solving Ax=b]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/81044171</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/81044171</guid><author>CrazyTensor</author><pubDate>Sat, 14 Jul 2018 15:32:06 +0800</pubDate><description><![CDATA[这个系列文章是我重温Gilbert老爷子的线性代数在线课程的学习笔记。  
Course Name：MIT 18.06 Linear Algebra 
Text Book: Introduction to  Linear Algebra 
章节内容: 3.4



课程提纲 
1. Matrix Multiplication (5 ways)  
2. The laws for Matrix Op...]]></description><category></category></item><item><title><![CDATA[MIT18.06学习笔记 - Lecture 7: Solving Ax=0: pivot variables and special solutions]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/81044012</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/81044012</guid><author>CrazyTensor</author><pubDate>Sat, 14 Jul 2018 15:20:00 +0800</pubDate><description><![CDATA[Course Name：MIT 18.06 Linear Algebra 
Text Book: Introduction to  Linear Algebra 
章节内容: 2.4-2.5



课程提纲 
1. Matrix Multiplication (5 ways)  
2. The laws for Matrix Operations 
3. Inverse Matrices 
4. ...]]></description><category></category></item><item><title><![CDATA[MIT18.06学习笔记 - Lecture 6: Vector spaces and subspaces]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/80962502</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/80962502</guid><author>CrazyTensor</author><pubDate>Sun, 08 Jul 2018 20:54:35 +0800</pubDate><description><![CDATA[Course Name：MIT 18.06 Linear Algebra 
Text Book: Introduction to  Linear Algebra 
章节内容: 3.1



课程提纲 
1. Matrix Multiplication (5 ways) 

课程重点 


Matrix Multiplication (5 ways)

1. Entry view, the entr...]]></description><category></category></item><item><title><![CDATA[MIT18.06学习笔记 - Lecture 5: Transposes and Permutations]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/80960127</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/80960127</guid><author>CrazyTensor</author><pubDate>Sun, 08 Jul 2018 16:16:36 +0800</pubDate><description><![CDATA[MIT18.06学习笔记 - Lecture 3: Multiplication and Inverse Matrices

Course Name：MIT 18.06 Linear Algebra 
Text Book: Introduction to  Linear Algebra 
章节内容: 2.7



课程提纲 
1. Transpose and Symmetric matrices ...]]></description><category></category></item><item><title><![CDATA[MIT18.06学习笔记 - Lecture 4: Factorization into A = LU]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/80959490</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/80959490</guid><author>CrazyTensor</author><pubDate>Sun, 08 Jul 2018 15:12:46 +0800</pubDate><description><![CDATA[Course Name：MIT 18.06 Linear Algebra 
Text Book: Introduction to  Linear Algebra 
章节内容: 2.6



课程提纲 
1. Matrix Multiplication (5 ways)  
2. The laws for Matrix Operations 
3. Inverse Matrices 
4. Gaus...]]></description><category></category></item><item><title><![CDATA[MIT18.06学习笔记 - Lecture 3: Multiplication and Inverse Matrices]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/80934528</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/80934528</guid><author>CrazyTensor</author><pubDate>Thu, 05 Jul 2018 23:21:12 +0800</pubDate><description><![CDATA[这个系列文章是我重温Gilbert老爷子的线性代数在线课程的学习笔记。 
Course Name：MIT 18.06 Linear Algebra 
Text Book: Introduction to  Linear Algebra 
章节内容: 2.4-2.5



课程提纲

课程重点



Elimination and Back-Substitution

The systematic ...]]></description><category></category></item><item><title><![CDATA[MIT18.06学习笔记 - Lecture 2: Elimination with Matrices]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/80904930</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/80904930</guid><author>CrazyTensor</author><pubDate>Tue, 03 Jul 2018 22:07:12 +0800</pubDate><description><![CDATA[这个系列文章是我重温Gilbert老爷子的线性代数在线课程的学习笔记。  
Course Name：MIT 18.06 Linear Algebra  
Text Book: Introduction to Linear Algebra  
章节内容: 1.1-1.3

课程提纲  
1. Two vector operations and linear combination  
2. dot ...]]></description><category></category></item><item><title><![CDATA[MIT18.06学习笔记 - Lecture 0: Introduction to Vectors]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/80792938</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/80792938</guid><author>CrazyTensor</author><pubDate>Sun, 24 Jun 2018 21:03:57 +0800</pubDate><description><![CDATA[这个系列文章是我重温Gilbert老爷子的线性代数在线课程的学习笔记。 
Course Name：MIT 18.06 Linear Algebra 
Text Book: Introduction to  Linear Algebra 
章节内容: 1.1-1.3



课程提纲 
1. Two vector operations and linear combination 
2. dot pr...]]></description><category></category></item><item><title><![CDATA[MIT18.06学习笔记 - Lecture 1: The geometry of linear equations]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/80659219</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/80659219</guid><author>CrazyTensor</author><pubDate>Mon, 11 Jun 2018 23:04:05 +0800</pubDate><description><![CDATA[这个系列文章是我重温Gilbert老爷子的线性代数在线课程的学习笔记。 
Course Name：MIT 18.06 Linear Algebra 
Text Book: Introduction to  Linear Algebra



课程提纲 
[TOC]



Two Linear Equations with Two Unknowns

The central problem of l...]]></description><category></category></item><item><title><![CDATA[机器学习笔记一：概述]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/80216781</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/80216781</guid><author>CrazyTensor</author><pubDate>Sun, 06 May 2018 21:14:11 +0800</pubDate><description><![CDATA[机器学习的公认定义[Mitchell, 1997]：


  A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P,...]]></description><category></category></item><item><title><![CDATA[会说话的机器狗博客2年规划]]></title><link>https://blog.youkuaiyun.com/CrazyTensor/article/details/80216238</link><guid>https://blog.youkuaiyun.com/CrazyTensor/article/details/80216238</guid><author>CrazyTensor</author><pubDate>Sun, 06 May 2018 17:22:15 +0800</pubDate><description><![CDATA[20180506 - 20200506 大纲


《机器学习》周志华和《统计学习方法》李航读书笔记
《机器学习实战in python》学习笔记
《Pattern Recognition and Machine Learning》Bishop读书笔记
《Neural Network Methods for Natural Language Processing》读书笔记
《Deep Learning...]]></description><category></category></item></channel></rss>