Sequence-to-sequence learning: Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

15 December 2023

  • curprev 04:3904:39, 15 December 2023Ai talk contribs 4,896 bytes +4,896 Created page with "== Introduction == Sequence-to-sequence learning, often abbreviated as Seq2Seq, is a method of machine learning ML that involves training models to convert sequences from one domain (such as sentences in English) into sequences in another domain (such as the same sentences translated into French). This method is primarily used in natural language processing NLP, particularly in applications such as machine translation,..."