Seq2seq
Family of machine learning approaches
Seq2seq
In machine learning and natural language processing, seq2seq is a family of approaches that uses sequence transformation, i.e., it turns an input sequence into an output sequence. Originally developed by Lê Viết Quốc, a Vietnamese computer scientist and a machine learning pioneer at Google Brain, this framework has become foundational in many modern AI systems. Applications include language translation, image captioning, conversational models, speech recognition, and text summarization.
Read on Wikipedia · Image Google, Apache License 2.0
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