TensorFlow-In-Practice
This repo consists of code based in tensorflow.
Basic operation
- Learning to use tensorboard
- Convolution Neural Network using MNIST
- Long Short Term Memory using MNIST
- Implement of LSTM by hand
- Variational Auto Encoder-version1
- Variational Auto Encoder-version2
The Code
- DCN:Deep & Cross Network for Ad Click Predictions
- DeepFM:A Factorization-Machine based Neural Network for CTR Prediction
- FFM:Field-aware Factorization Machines for CTR Prediction
- FM:Factorization Machines
- GBDT+LR:Practical Lessons from Predicting Clicks on Ads at Facebook
- GCN:Semi-Supervised Classification with Graph Convolutional Networks
- GNN:Session-based Recommendation with Graph Neural Networks
- DIEN:Deep Interest Evolution Network for Click-Through Rate Prediction
- Session-based Recommendations with Recurrent Neural Networks
- Transformer
- (WWW2019) What We Vote for? Answer Selection from User Expertise View in Community Question Answering
Relevant Notes
- DCN:Deep & Cross Network for Ad Click Predictions简介
- DeepFM: A Factorization-Machine based Neural Network for CTR Prediction简介
- FFM:Field-aware Factorization Machines for CTR Prediction简介
- FM:Factorization Machines简介
- GBDT+LR:Practical Lessons from Predicting Clicks on Ads at Facebook简介
- GCN:Semi-Supervised Classification with Graph Convolutional Networks简介
- GNN:Session-based Recommendation with Graph Neural Networks简介
- DIEN:Deep Interest Evolution Network for Click-Through Rate Prediction简介
Tips
More information you can see my blog.
If you just wanna see my notes more about paper,see this.
Give a star to keep up with my upgrading.