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文件名称: Transformer & Question Answering- Thang Luong.pdf
  所属分类: 深度学习
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  上传时间: 2019-07-06
  提 供 者: tianc******
 详细说明:The Transformer network consists of multiple layers, each with several Attention Heads (and additional layers), used to learn different relationships between tokens. As in many NLP models, the input tokens are first embedded into vectors This slide Thang Luong from google brain to talk about detail transfomer networkA ST KNG H Why Transformer? VitaL VietAI Foundation Class 4-Thang Luong-QA, Transformer, BERT, XLNet A ST KNG H Why Transformer? Vital Best nLP Model Ever? Google bert Sets New Standards in 11 Language asKs 1 Synced in SyncedReview[ Follow GoogleS BERT :: Google Al Transformer VietAI Foundation Class 4-Thang Luong-QA, Transformer, BERT, XLNet A ST KNG H Why Transformer? Vital Best nLP Model Ever? Google bert Sets New Standards in 11 Language asKs 1 Synced in SyncedReview[ Follow GoogleS BERT Google Al Transformer ABOUT PROGRESS RESOURCES BLOG Better Language Models OpenAl's GPt2 and Their Implications We've trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization-all without task-specific training VietAI Foundation Class 4-Thang Luong-QA, Transformer, BERT, XLNet Outline Vital Transformer Self-attention o Architecture Question Answering (BiDAF, QANet Beyond VietAI Foundation Class 4-Thang Luong-QA, Transformer, BERT, XLNet Let's translate"Apple" into your language Vital Apple is loved by many people; it is good for your health Apple is loved by many people; it is good in its design VietAI Foundation Class 4-Thang Luong-QA, Transformer, BERT, XLNet Needs to capture long-range dependency Vital Apple is loved by many people; it is good for your health Apple is loved by many people; it is good in its design VietAI Foundation Class 4-Thang Luong-QA, Transformer, BERT, XLNet RNNS/LSTMS Vital Sequential: slow difficult to capture long-range dependency 1.0 0.6 0.9 0.5 0.7 0.4 0.5 0.5 0.6 3 0.6 0.9 0.2 0.3 0.1 0.1 0.1 0.3 0.8 0 Apple for your health A pple is not aware of health VietAI Foundation Class 4-Thang Luong-QA, Transformer, BERT, XLNet Self-attention Vital All words connect to one another 1.0 0.6 0.9 0.5 0.7 0.4 0.5 0.5 0.6 3 0.6 0.9 0.3 0.4 0.5 0.2 0.3 0.1 0.1 0.1 0.3 0.8 0 Apple for your health Apple is aware of health VietAI Foundation Class 4-Thang Luong-QA, Transformer, BERT, XLNet
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