Sequence-To-Sequence Modeling with Neural Networks
Oriol Vinyals · Navdeep Jaitly
2017 Tutorial
Abstract
Sequence-To-Sequence (Seq2Seq) learning was introduced in 2014, and has since been extensively studied and extended to a large variety of domains. Seq2Seq yields state-of-the-art performance on several applications such as machine translation, image captioning, speech generation, or summarization. In this tutorial, we will survey the basics of this framework, its applications, main algorithmic techniques and future research directions.
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