《深度自然语言处理》课程教学课件（Natural language processing with deep learning）07 Language Model & Distributed Representation（4/6）

Sequence-to-sequenceSequence-to-sequence(seq2seg)ModelEncoder:XXA

Sequence-to-sequence l Sequence-to-sequence (seq2seq) Model Encoder :

Sequence-to-sequenceSequence-to-sequence(seq2seg)ModelEncoder :XAXX(1) c=ha(2) c = q(h4)(3) c=q(h,hz,hy,hy)

Sequence-to-sequence l Sequence-to-sequence (seq2seq) Model Encoder :

Sequence-to-sequenceSequence-to-sequence(seq2seg)ModelEncoder+Decoder:交道大学

Sequence-to-sequence l Sequence-to-sequence (seq2seq) Model Encoder + Decoder :

Sequence-to-sequenceSequence-to-sequence(seq2seg)ModelEncoder+Decoder:

Sequence-to-sequence l Sequence-to-sequence (seq2seq) Model Encoder + Decoder :

Sequence-to-sequenceSeq2segModel:Machinetranslation:The classic application of seq2seg.Infact,thisstructure is first proposed in the field of machinetranslation.交通大学

Sequence-to-sequence l Seq2seq Model : l Machine translation : The classic application of seq2seq. In fact, this structure is first proposed in the field of machine translation