Link summary of Topic: Natural Language Processing with Deep Learning
相关资料
Natural Language Processing with Deep Learning, stanford
Slides and notes
- word2vec note
1.1 word2vec negative sample hierarchy softmax - word2vec slides
- RNN
- RNN, LSTMs and GRUs
- RNN, LSTMs and GRUs note
- Neural Machine Translation and Models with Attention, decoder
Video:
Standford视频: Lecture Collection | Natural Language Processing with Deep Learning (Winter 2017)
Word Embedding: Word Embedding Explained and Visualized
Book:
Sequence Modeling: Recurrent and Recursive Nets
TensorFlow实战
Tensorflow实战Google深度学习框架
深度学习
Convolutional Neural Networks for Visual Recognition
Paper and git
Effective Approaches to Attention-based Neural Machine Translation
Neural Machine Translation by Jointly Learning to Align and Translate
attention is all you need
Git:Tensorflow
Git:finch
BLOGs
递归神经网络不可思议的有效性
seq2seq学习笔记
Understanding LSTM Networks
理解 LSTM 网络
自然语言处理中的Attention Model：是什么及为什么
对Attention is all you need 的理解
谷歌推出基于注意机制的全新翻译框架，Attention is All You Need!