Gating Mechanism
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A Gating Mechanism is a Neural Network Memory Cell that is composed of a gated recurrent unit.
- Context:
- It can be a layer in a Gated Recurrent Neural Network.
- Example(s):
- Counter-Example(s):
- See: Memory-Augmented Neural Network (MANN), Internal Memory-based Neural Network.
References
2014a
- (Cho et al., 2014) ⇒ Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, and Yoshua Bengio. (2014). "On the Properties of Neural Machine Translation: Encoder-Decoder Approaches". In: Proceedings of Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation (SSST@EMNLP 2014). DOI:10.3115/v1/W14-4012
2014b
- (Chung et al., 2014) ⇒ Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. (2014). “Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.” In: eprint arXiv:1412.3555.