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pytorch实现FNN，在这里对于FM的隐向量初始化DNN的嵌入层，实现方式是用FM的隐向量来对原始的输入数据做转换，然后将转换后的数据输入到DNN中，即实现FNN模型。

FNN 是 2016 年产出的模型， 跟 DeepFM 一样，也是 FM 与 DNN 结合的产物，不同的是，FNN 采用的是串行拼接的结合方式，将 DNN 接在 FM 层后方，以减轻全连接层构造隐式特征的工 …

2023年5月4日 · 本文要介绍的是 FNN 模型，出自于张伟楠老师于2016年发表的论文 《Deep Learning over Multi-field Categorical Data》。 论文提出了两种 深度学习 模型，分别叫 …