In the featurization tutorial we incorporated multiple features into our models, but the models consist of only an embedding layer. We can add more dense layers...
In the featurization tutorial we incorporated multiple features beyond just user and movie identifiers into our models, but we haven't explored whether those fe...
Bert 全称为 Bidirectional Encoder Representations from Transformers（Bert）。和 ELMo 不同，BERT 通过在所有层联合调节左右两个上下文来预训练深层双向表示，此外还通过组装长句作为输入增强了对长程语义的理解。Bert ...
One of the great advantages of using a deep learning framework to build recommender models is the freedom to build rich, flexible feature representations.
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