Sequence to Sequence Learning with Neural NetworksSequence to Sequence -- Video to TextLearning to ExecuteDeconvolutional Paragraph Representation LearningPlan, Attend, Generate: Planning for Sequence-to-Sequence ModelsAn Online Sequence-to-Sequence Model Using Partial ConditioningGet To The Point: Summarization with Pointer-Generator NetworksA Seq2seq-Based Approach to Question Answering over Knowledge Bases
P921
Q29381174-781406a1-46be-2112-ebb0-5421345737d7Q41589145-128c2d4a-42cc-bfa0-c1b4-1cb4ba548a32Q44618937-0c66f111-4eca-f225-056d-227ac6a24a0eQ44650066-c8d20cb3-4dd6-b2a6-5fd4-587fb63c2803Q44651723-738f26be-4043-1ffc-076e-0ba65331172cQ46994416-263cfc77-48b5-2685-3d44-17e2829ea7c3Q63986425-3a8b826f-48be-655c-acc7-19eb431f5a65Q87125529-a101b35a-4b1c-162c-248e-19481813ceb1
P921
description
將序列映射到序列的機器學習模型
@zh
name
Seq2Seq模型
@zh
deprendimientu secuencia a secuencia
@ast
sekvens-til-sekvens-læring
@da
sequence-to-sequence learning
@en
type
label
Seq2Seq模型
@zh
deprendimientu secuencia a secuencia
@ast
sekvens-til-sekvens-læring
@da
sequence-to-sequence learning
@en
altLabel
seq2seq
@ast
seq2seq
@en
prefLabel
Seq2Seq模型
@zh
deprendimientu secuencia a secuencia
@ast
sekvens-til-sekvens-læring
@da
sequence-to-sequence learning
@en