Introduction
This blog will give a simple explanation of BERT and its variants’(Mainly focus on variants) main idea and how these models improve base on its training process.
Intention Recognization
Introduction
Hello, nice to meet you! This is my summary of my recent learning and it will continue updating for some time since I’m still learning. I will summarize some method of Intention Recognization that I learned from paper recently. I will just show the main idea about a specific without too many details. I will list the paper that corresponding to the topic that I’m showing below. If you are interested in some topics, you can find the original paper and get more details. Always, if you want to talk with me, please contact me at haroldliuj@gmail.com. Let’s get Started! Have a nice trip!
Gibbs Sampling for Dirichlet Multinomial Mixture Reading Notes
Introduction
This is my reading notes for Yin J, Wang J’s A Dirichlet Multinomial Mixture model-based approach for short text clustering. I explained the main idea of this paper and summarized the paper with both the author’s explanations and my understanding. If you want to talk about this paper with me, please contact me at haroldliuj@gmail.com. Have a good trip!
Attention is All You Need Reading Notes
Introduction
This is my reading notes of Vaswani A, Shazeer N, Parmar N, et al’s Attention Is All You Need. I just briefly summarized the logistic structure of the paper and list the main idea of the paper. If you need more details of the paper, please read the passage by yourself. If you have any questions want to discuss with me, feel free to contact at haroldliuj@gmail.com. Have a nice trip!
Neural Approaches to Conversational AI Reading Notes
Introduction
This is my reading notes for Gao et al’s Neural Approaches to Conversational AI. I just marked something I think is important and made the structure more logistic clear. Since I just read the paper once, there must be something that I wrongly understood. Feel free to contact me at haroldliuj@gmail if you find something wrong. Have a nice trip!
Data Science for Research Psychology Lecture Notes Part 2
Introduction
This is my lecture notes for UC Berkeley course Data Science for Research Psychology instructed by Professor Charles Frye. This post contains some basic data science and statistic knowledge. Most of the content showed following is from this course’s lecture slides with some of my understanding. You can check the original slides at here. If there are any copyright issues please contact me: haroldliuj@gmail.com.
Data Science for Research Psychology Lecture Notes Part 1
Introduction
This is my lecture notes for UC Berkeley course Data Science for Research Psychology instructed by Professor Charles Frye. This post contains some basic data science and statistic knowledge. Most of the content showed following is from this course’s lecture slides with some of my understanding. You can check the original slides at here. If there are any copyright issues please contact me: haroldliuj@gmail.com.
CS224n Learning Notes--Word Vectors
MacOS用HEXO+GIT搭建博客
随着最近新学的东西越来越多出现看到一些东西总是有“诶，我之前是不是在哪里学过”的人生怀疑，所以是时候来搞一个blog了，记录一下日常学的东西之外顺带可能发点旅游照片什么的，原本以为这就是几行命令的事情，然而到最后没想到自己沉迷在了选主题和配置上了，前前后后搞了快一天才最后终于push到github上。本篇博客用于记录在自己电脑上配置HEXO环境的过程，方便以后可能时不时可能会发生的系统崩溃后的重装系统后来翻阅。如果需要Github端的配置过程请从参考文献中自行寻找。
Introduction
- This blog may contain Xiao(Harold) Liu’s learning notes about what he recent learned and some photos that he recently took.
- Have a nice trip!!
- $Name(Xiao) = Harold$
- 文章可能并不只限于同一语种