Update README.md

Author: catqaq

README.md

@@ -1,10 +1,10 @@
 # Text Classification
-- Dataset: yahoo_answers_csv ([yahoo](https://s3.amazonaws.com/fast-ai-nlp/yahoo_answers_csv.tgz))
-- Model: CNN/LSTM/GRU.
+- Dataset: [yahoo/dbpedia...](https://drive.google.com/drive/u/0/folders/0Bz8a_Dbh9Qhbfll6bVpmNUtUcFdjYmF2SEpmZUZUcVNiMUw1TWN6RDV3a0JHT3kxLVhVR2M)
+- Model: CNN/(Bi)LSTM/(Bi)GRU.
 - Pytorch: 1.0.1
 - Python: 3.6
 - torchtext: 0.3.1.
-- Support pretrained word embedding.([word2vec](https://github.com/mmihaltz/word2vec-GoogleNews-vectors))
+- Support pretrained word embedding.([word2vec](https://github.com/mmihaltz/word2vec-GoogleNews-vectors),[glove](https://nlp.stanford.edu/projects/glove/))
 
 ## torchtext
 - This package can provide an elegant way to build vocabulary([torchtext](https://torchtext.readthedocs.io/en/latest/index.html#)). 
@@ -14,12 +14,17 @@ TEXT.build_vocab(dataset, vectors)
 
 ## Training
 
-- The following command starts training.
-
 ```
-python main.py
+python preprocess.py #preprocessing
+```
+```
+python main.py #training
 ```
 ## Refs
 - Kim, Y. J. E. A. (2014). "Convolutional Neural Networks for Sentence Classification." 
 - [cnn-text-classification-pytorch](https://github.com/Shawn1993/cnn-text-classification-pytorch)
 - [Understanding LSTM Networks](https://colah.github.io/posts/2015-08-Understanding-LSTMs/)
+- [Glove](https://nlp.stanford.edu/projects/glove/)
+- [你在训练RNN的时候有哪些特殊的trick？](https://www.zhihu.com/question/57828011)
+- [图解CNN](https://blog.csdn.net/v_july_v/article/details/79434745)
+- [CNN](https://blog.csdn.net/v_JULY_v/article/details/51812459)