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Title: NLP-Interview-Notes/DeepLearningAlgorithm/attention at main · xebin/NLP-Interview-Notes · GitHub

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og:image:alt该仓库主要记录 NLP 算法工程师相关的面试题. Contribute to xebin/NLP-Interview-Notes development by creating an account on GitHub.
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https://github.com/xebin/NLP-Interview-Notes
NLP-Interview-Noteshttps://github.com/xebin/NLP-Interview-Notes/tree/main
DeepLearningAlgorithmhttps://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm
Historyhttps://github.com/xebin/NLP-Interview-Notes/commits/main/DeepLearningAlgorithm/attention
https://github.com/xebin/NLP-Interview-Notes/commits/main/DeepLearningAlgorithm/attention
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readme.mdhttps://github.com/xebin/NLP-Interview-Notes/blob/main/DeepLearningAlgorithm/attention/readme.md
readme.mdhttps://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#readme
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#关于-attention-那些你不知道的事
https://github.com/km1994/nlp_paper_studyhttps://github.com/km1994/nlp_paper_study
https://github.com/xebin/NLP-Interview-Notes/blob/main/DeepLearningAlgorithm/attention/img/%E5%BE%AE%E4%BF%A1%E6%88%AA%E5%9B%BE_20210203234353.png
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#一seq2seq-篇
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#11-seq2seq-encoder-decoder是什么
Sequence to Sequence learninghttps://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf
https://github.com/xebin/NLP-Interview-Notes/blob/main/DeepLearningAlgorithm/attention/img/20200916164600.png
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#12-seq2seq-中-的-encoder-怎么样
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#13-seq2seq-中-的-decoder-怎么样
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#14-在-数学角度上-的-seq2seq-你知道么
https://github.com/xebin/NLP-Interview-Notes/blob/main/DeepLearningAlgorithm/attention/img/20200916170948.png
https://github.com/xebin/NLP-Interview-Notes/blob/main/DeepLearningAlgorithm/attention/img/20200916171345.png
https://github.com/xebin/NLP-Interview-Notes/blob/main/DeepLearningAlgorithm/attention/img/20200916171708.png
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#15-seq2seq-存在-什么-问题
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#二attention-篇
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#21-什么是-attention
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#22-为什么引入-attention机制
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#23-attention-有什么作用
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#24-attention-流程是怎么样
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#步骤一--执行encoder-与-seq2seq-一致
https://github.com/xebin/NLP-Interview-Notes/blob/main/DeepLearningAlgorithm/attention/img/20200916172001.png
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#步骤二--计算对齐系数-a
https://github.com/xebin/NLP-Interview-Notes/blob/main/DeepLearningAlgorithm/attention/img/20200916172200.png
https://github.com/xebin/NLP-Interview-Notes/blob/main/DeepLearningAlgorithm/attention/img/20200916182920.png
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#步骤三--计算上下文语义向量-c
https://github.com/xebin/NLP-Interview-Notes/blob/main/DeepLearningAlgorithm/attention/img/20200916172542.png
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#步骤四--更新decoder状态
https://github.com/xebin/NLP-Interview-Notes/blob/main/DeepLearningAlgorithm/attention/img/20200916172726.png
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#步骤五-计算输出预测词
https://github.com/xebin/NLP-Interview-Notes/blob/main/DeepLearningAlgorithm/attention/img/20200916172920.png
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#25-attention-的应用领域有哪些
Transformerhttps://github.com/km1994/nlp_paper_study/tree/master/transformer_study/Transformer
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#三attention-变体篇
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#31-soft-attention-是什么
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#32-hard-attention-是什么
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#33-global-attention-是什么
https://github.com/xebin/NLP-Interview-Notes/blob/main/DeepLearningAlgorithm/attention/img/%E5%BE%AE%E4%BF%A1%E6%88%AA%E5%9B%BE_20210109115925.png
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#34-local-attention-是什么
https://github.com/xebin/NLP-Interview-Notes/blob/main/DeepLearningAlgorithm/attention/img/%E5%BE%AE%E4%BF%A1%E6%88%AA%E5%9B%BE_20210109120012.png
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#35-self-attention-是什么
self-attention 长怎么样?https://github.com/km1994/nlp_paper_study/tree/master/DL_algorithm/transformer_study#self-attention-%E9%95%BF%E6%80%8E%E4%B9%88%E6%A0%B7
https://github.com/xebin/NLP-Interview-Notes/tree/main/DeepLearningAlgorithm/attention#参考
【关于 Attention 】那些你不知道的事https://github.com/km1994/nlp_paper_study/tree/master/DL_algorithm/Attention_study
nlp中的Attention注意力机制+Transformer详解https://zhuanlan.zhihu.com/p/53682800
模型汇总24 - 深度学习中Attention Mechanism详细介绍：原理、分类及应用https://zhuanlan.zhihu.com/p/31547842
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