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.
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