Machine learning
门控循环单元 (GRU)
门控循环单元 (GRU) 是 Cho 及其同事于 2014 年推出的一种门控循环神经网络单元，它使用更新门和重置门来捕捉序列数据中的长期依赖关系，参数比 LSTM 少，性能与之相当。
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来源
- Cho, K. et al. (2014). Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. EMNLP. link ↗
- Chung, J., Gulcehre, C., Cho, K. & Bengio, Y. (2014). Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. NIPS 2014 Deep Learning Workshop. arXiv:1412.3555 link ↗
如何引用本页
ScholarGate. (2026, June 1). Gated Recurrent Unit. ScholarGate. https://scholargate.app/zh/deep-learning/gru
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