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A Critical Review of Recurrent Neural Networks for Sequence Learning 评分:

Countless learning tasks require dealing with sequential data. Image captioning, speech synthesis, and music generation all require that a model produce outputs that are sequences. In other domains, such as time series prediction, video analysis, and musical information retrieval, a model must learn from inputs that are sequences. I nteractive tasks, such as translat- ing natural language, engaging in dialogue, and controlling a robot, often demand both capabilities. Recurrent neural networks (RNNs) are connec- tionist models that capture the dynamics of sequences via cycles in the network of nodes.
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论文阅读:A Critical Review of Recurrent Neural Networks for Sequence Learning
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A Critical Review of Recurrent Neural Networks for Sequence Learning

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