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    周志华等提出RNN可解释性方法,看看RNN内部都干了些什么

    对于具体解释 RNN 中的什么,研究者分析了门控机制在 LSTM、GRU 和 MGU 等模型中的作用,特别是不同门控 RNN 中门的数量及其影响。...我们的结果表明有简单门控结构的 RNN 例如最小门控单元(MGU)的表现更好,并且 FSA 中的转换可以得到和对应单词相关的特定分类结果,该过程对于人类而言是可理解的。...为了验证该结论,我们展示了在 MGU、SRU、GRU 和 LSTM 上的隐藏状态点的分布,如图 1(a)到(d)所示。 ?...如表 2 所示,我们可以看到在从 MGU 学习到的 FSA 的平均集群数量总是能以最小的集群数量达到准确率 1.0。...图 7:在情感分析任务上训练的 MGU 学习到的 FSA。这里的 FSA 经过压缩,并且相同方向上的相同两个状态之间的词被分成同一个词类。

    97630

    mac 上学习k8s系列(18)CRD (part I)

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    65711

    CVE-2025-59287|Windows 服务器更新服务 (WSUS) 远程代码执行漏洞(POC)

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    53310

    在 Kubernetes 中使用 Keycloak OIDC Provider 对用户进行身份验证

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