Welcome to DeepCTR’s documentation!

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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 model.fit() and model.predict().

Let’s Get Started! (Chinese Introduction)

You can read the latest code at https://github.com/shenweichen/DeepCTR


05/17/2020 : Fix numerical instability in LayerNormalization. Changelog

03/15/2020 : Add FLEN (中文介绍) and FieldWiseBiInteraction. Changelog

03/04/2020 : Fix the inconsistency of prediction results when the model is loaded with trained weights. Changelog

Indices and tables