21:05Mac

　　▍目錄

　　課程

　　書籍

　　教程

　　講座

　　框架

　　論文

　　博客

　　學(xué)者

　　數(shù)據(jù)集

　　其它

　　▍課程

　　CS224d： Deep Learning for Natural Language Processing from Stanford

　　Course homepage A complete survey of the field with videos， lecture slides， and sample student projects.

　　Course Lectures Video playlist.

　　Course notes Probably the best “book” on DL for NLP.

　　Neural Networks for NLP from Carnegie Mellon University

　　Coures homepage

　　Course Lectures

　　Course code

　　▍書籍

　　Neural Network Methods in Natural Language Processing by Yoav Goldberg and Graeme Hirst

　　Deep Learning in Natural Language Processing by Li Deng and Dang Liu

　　Natural Language Processing in Action by Hobson Lane， Cole Howard， and Hannes Hapke

　　▍教程

　　Deep Learning for Natural Language Processing （without Magic）

　　A Primer on Neural Network Models for Natural Language Processing

　　Deep Learning for Natural Language Processing： Theory and Practice （Tutorial）

　　TensorFlow Tutorials

　　Practical Neural Networks for NLP from EMNLP 2016 using DyNet framework

　　Recurrent Neural Networks with Word Embeddings

　　LSTM Networks for Sentiment Analysis

　　TensorFlow demo using the Large Movie Review Dataset

　　LSTMVis： Visual Analysis for Recurrent Neural Networks

　　▍講座

　　Ali Ghodsi‘s lecture on word2vec part 1 and part 2

　　Richard Socher’s talk on sentiment analysis， question answering， and sentence-image embeddings

　　Deep Learning， an interactive introduction for NLP-ers

　　Deep Natural Language Understanding

　　Deep Learning Summer School， Montreal 2016 Includes state-of-art language modeling.

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