读论文 Deep Recursive Neural Networks for Compositionality in Language
读论文 Deep Recursive Neural Networks for Compositionality in Language 递归神经网络包括一类可以对结构化输入进行操作的体系结构。 它们之前已成功应用于使用基于分析树的结构表示的自然语言中的模型组合。尽管这些架构结构很深，但它们缺乏传统深度前馈网络以及最近研究的深度递归神经网络中存在的分层表示的能力。 在这项工作中，我们引入了一种新的架
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相关文章
- 1. 读论文Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
- 2. 论文阅读Recursive Deep Models
- 3. [论文解读] Concolic Testing for Deep Neural Networks
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- 9. 2015 ICCV论文《Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition》
- 10. ICCV2015论文 Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition解析