Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
ReID
Published:
一些概念
LanguageModel
Published:
语言模型
ML/Deep Learning Note1-杂记
Published:
机器学习的一点笔记（其实只是拿来练一下公式输入）
Sequence_Models
Published:
现实中很多数据其实都有时序结构的
Precision_Recall
Published:
First of all
In machine learing, precision and recall are two standards to evaluate a model , but why precision and recall can make such a useful work? Here are the answers
Rare classification example
When we want to train a classifier to classify the disease on the patient, you train a classifier $f_{\vec{w},b}(\vec{x})$ ($y=1$ if disease present,$y=0$ otherwise)
Some_Interpretation_About_Resnet
Published:
Why ResNet can train a neural network that has more than 1000 layers
ResNet
Published:
函数训练时可能遇到的问题
Galaxy of Fenghuang Mount
Published:
终于遇到好天气
Batch Normalization（BN-批量归一化）
Published:
为什么要提出BN
DiffusionModel
Published:
INTRODUCTION
Divided into part procession , Diffusion Model has a “Forward Process” and a “Reverse Process”.
各种经典的神经网络架构
Published:
LeNet
Pooling（池化层）
Published:
引入
在之前我们对图像进行卷积操作时，例如检测边界 （0与1的边界） 
GAN笔记
Published:
两个核心
Generator
debug a learning algorithm
Published:
Look at this J funciton: \(J(\vec{w},b)=\frac{1}{2m}\sum^m_{i=1}(f_{\vec{m},b}\vec({x}^{(i)})-y^{(i)})^2+\frac{\lambda}{2m}\sum^n_{j=1}w^2_j\)
VAE(Variational Auto-Encoder)笔记
Published:
在认识VAE之前，先得了解一下AE（Auto-Encoder）是什么东西？
AE(Auto-Encoder)
ML/Deep Learning Note4-卷积层
Published:
几个基础概念
1、Receptive Field(感受野)
在卷积神经网络中，感受野的定义是：卷积神经网络每一层输出的特征图（feature map）上的像素点在原始图像上映射的区域大小。
ML/Deep Learning Note4-交叉熵与KL散度
Published:
昨晚被Johnny Zhu问了一下交叉熵是啥东西，发现自己确实是学了如学，只学了个名字，所以重新整理一下
ML/Deep Learning Note3-数据集
Published:
数据集的分类
ML/DeepLearning Note2-MLP(多层感知机)
Published:
ML/Deep Learning Note1-杂记
Published:
机器学习的一点笔记（其实只是拿来练一下公式输入）
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
Download Paper | Download Slides | Download Bibtex
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
Download Paper | Download Slides
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
Download Paper | Download Slides
Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Download Paper
Paper Title Number 5, with math \(E=mc^2\)
Published in GitHub Journal of Bugs, 2024
This paper is about a famous math equation, \(E=mc^2\)
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Download Paper
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.