python FNN

F是指基于Python编程语言实现的Feedforward Neural Network（前馈神经网络）。FNN模型结合了FM（Factorization Machine）和DNN（Deep Neural Network）的特点，旨在实现显式特征交叉和隐式高阶交叉以及泛化能力。FNN模型的提出是为了在深度学习时代中将传统的推荐系统模型与深度学习技术相结合，以提高模型的性能和准确性。FNN模型的设计和实现在推荐系统领域发挥了重要的作用。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *3* [【Pytorch深度学习实战】（4）前馈神经网络（FNN）](https://blog.csdn.net/sikh_0529/article/details/126922583)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *2* [NNDL 作业3：分别使用numpy和pytorch实现FNN例题](https://blog.csdn.net/qq_51713698/article/details/127135938)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
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