add more references while doing hw5...

hw5/README.md

@@ -7,3 +7,52 @@ Determine the tags for each summary of a book.
 ## Kagge Link
 <https://inclass.kaggle.com/c/ml2017-hw5> 
 
+### requirement.txt
+```
+numpy
+scipy
+pandas
+Keras
+tensorflow
+scikit-learn
+h5py
+Cython
+nltk
+```
+
+## Best Version
+<http:https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html> 
+<http:https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MultiLabelBinarizer.html> 
+<http:https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html> 
+<http:https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html> 
+<http:https://scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html> 
+<http:https://scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsRestClassifier.html> 
+
+
+## RNN Version
+### Reading reference:
+<https://github.com/fchollet/keras/blob/master/examples/imdb_lstm.py> 
+<https://github.com/fchollet/keras/blob/master/tests/keras/preprocessing/text_test.py> 
+<https://github.com/fchollet/keras/issues/741> 
+<http:https://machinelearningmastery.com/sequence-classification-lstm-recurrent-neural-networks-python-keras/>
+
+#### Use pre-trained word embedding in Keras
+<https://blog.keras.io/using-pre-trained-word-embeddings-in-a-keras-model.html> 
+
+#### keras metrics f1 score
+<https://github.com/fchollet/keras/issues/2607> 
+<https://github.com/fchollet/keras/blob/53e541f7bf55de036f4f5641bd2947b96dd8c4c3/keras/metrics.py> 
+<https://github.com/fchollet/keras/issues/3977> 
+
+<https://keras.io/preprocessing/text/#tokenizer> 
+<https://keras.io/preprocessing/sequence/#pad_sequences> 
+
+<https://keras.io/layers/embeddings/#embedding> 
+<https://keras.io/layers/recurrent/#lstm> 
+
+<http:https://stackoverflow.com/questions/7961363/removing-duplicates-in-lists> 
+
+
+## Reference
+<https://www.quora.com/What-is-bagging-in-machine-learning> 
+<https://www.tutorialspoint.com/python/string_split.htm>