Welcome to DeepCTR’s documentation!¶
DeepCTR is a Easy-to-use , Modular and Extendible package of deep-learning based CTR models along with lots of core components layer which can be used to easily build custom models.It is compatible with tensorflow 1.4+ and 2.0+.You can use any complex model with
You can read the latest code at https://github.com/shenweichen/DeepCTR
05/17/2020 : Fix numerical instability in
03/04/2020 : Fix the inconsistency of prediction results when the model is loaded with trained weights. Changelog
公众号：浅梦的学习笔记 wechat ID: deepctrbot
- 1. Save or load weights/models
- 2. Set learning rate and use earlystopping
- 3. Get the attentional weights of feature interactions in AFM
- 4. How to extract the embedding vectors in deepfm?
- 5. How to add a long dense feature vector as a input to the model?
- 6. How to run the demo with GPU ?
- 7. How to run the demo with multiple GPUs