文件名称：A Critical Review of Recurrent Neural Networks for Sequence Learning
文件大小：1.03MB
文件格式：PDF
更新时间：2022-02-12 14:53:50
RNN
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. Interactive 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.