Deep Learning Reading & Coding lists

Links of CNN & RNN for Text Classification

• http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/
• http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/
• http://konukoii.com/blog/2018/02/19/twitter-sentiment-analysis-using-combined-lstm-cnn-models/
• https://github.com/seyedsaeidmasoumzadeh/Binary-Text-Classification-LSTM/blob/master/train.py
• https://www.quora.com/Which-is-better-for-text-classification-CNN-or-RNN-Which-areas-of-NLP-do-they-better-suit-to
• https://www.quora.com/CNN-or-LSTM-which-can-learn-an-n-gram-sentiment-from-fewer-examples-sentences
• https://medium.com/@vivanraaj/sentiment-analysis-on-movie-reviews-using-cnn-lstm-architecture-81c6305d4605

RNN - GRU/LSTM tutorial, difference & implementation

• http://www.wildml.com/2015/10/recurrent-neural-network-tutorial-part-4-implementing-a-grulstm-rnn-with-python-and-theano/
• http://colah.github.io/posts/2015-08-Understanding-LSTMs/
• http://harinisuresh.com/2016/10/09/lstms/ (Why LSTM solves vanishing gradient problem)
• https://guillaumegenthial.github.io/sequence-tagging-with-tensorflow.html

Regularization:

• Why dropout regularize or prohibit overfitting?