讀論文 Deep Recursive Neural Networks for Compositionality in Language
讀論文 Deep Recursive Neural Networks for Compositionality in Language 遞歸神經網絡包括一類可以對結構化輸入進行操作的體系結構。 它們之前已成功應用於使用基於分析樹的結構表示的自然語言中的模型組合。儘管這些架構結構很深，但它們缺乏傳統深度前饋網絡以及最近研究的深度遞歸神經網絡中存在的分層表示的能力。 在這項工作中，我們引入了一種新的架
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相關文章
- 1. 讀論文Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
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- 3. [論文解讀] Concolic Testing for Deep Neural Networks
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- 8. LSTM Neural Networks for Language Modeling
- 9. 2015 ICCV論文《Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition》
- 10. ICCV2015論文 Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition解析