Deep Learning for Natural Language Processing
Posted 阿升1990
tags:
篇首语：本文由小常识网(cha138.com)小编为大家整理，主要介绍了Deep Learning for Natural Language Processing相关的知识，希望对你有一定的参考价值。
Transformer是首个完全抛弃RNN的recurrence，CNN的convolution，仅用attention来做特征抽取的模型。Deep Learning for Natural Language Processing：The Transformer model_up.pdf: https://url39.ctfile.com/f/2501739-805100030-845fca?p=2096 (访问密码: 2096)
参考文献：
[1]Deep Learning for Natural Language Processing：The Transformer model_up.pdf: https://url39.ctfile.com/f/2501739-805100030-845fca?p=2096 (访问密码: 2096)
以上是关于Deep Learning for Natural Language Processing的主要内容，如果未能解决你的问题，请参考以下文章
NOTE:Deep Reinforcement Learning with a Natural Language Action Space
NOTE:Deep Reinforcement Learning with a Natural Language Action Space
Coursera, Deep Learning 5, Sequence Models, week2, Natural Language Processing & Word Embeddings
TensorFlow by Google Machine Learning Foundations: Ep #8 - Tokenization for Natural Language Process