【文件属性】：
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.