翻译: 什么是ChatGPT 通过图形化的方式来理解 Transformer 架构 深度学习四

### CV
# Diffusion Model 扩散模型
http://deepnlp.org/equation/diffusion-model-forward-processhttp://deepnlp.org/equation/diffusion-model-forward-process-reparameterization
http://deepnlp.org/equation/diffusion-model-reverse-process
http://deepnlp.org/equation/diffusion-model-variational-lower-boundhttp://deepnlp.org/equation/diffusion-model-variational-lower-bound-loss

# GAN 对抗网络
http://deepnlp.org/equation/generative-adversarial-networks-gan

##VAE 模型 
http://deepnlp.org/equation/variational-autoencoder-vae

### NLP
# Transformer
http://deepnlp.org/equation/transformer

## 机器学习分类器 SVM 
http://deepnlp.org/equation/support-vector-machine-svm

## 图模型 GCN/GAT/GraphSage
http://deepnlp.org/equation/graph-convolutional-networks-gcn

http://deepnlp.org/equation/graph-attention-network-gat

http://deepnlp.org/equation/graphsage

## 机器学习基础: 

# KL Divergence
http://deepnlp.org/equation/kl-divergence

# Loss Huber Loss 
http://deepnlp.org/equation/huber-loss

## 搜索/推荐 
http://deepnlp.org/equation/multi-gate-mixture-of-experts-mmoehttp://deepnlp.org/equation/progressive-layered-extraction-ple

## 因果推断 AUUC
http://deepnlp.org/equation/area-under-uplift-curve-auuc