[RNN] tutorials

• references
  • RNN tutorial
  • exploring LSTM
  • LSTM equations and size of each matrix
  • deriving back-propagation on rnn/lstm
  • sequence tagging with tensorflow
  • TRAINING RNNS AS FAST AS CNNS
  • NEURAL SPEED READING VIA SKIM-RNN
  • seq2seq autoencoders
    • building autoencoders in keras
    • simple seq2seq autoencoder with tensorflow
    • simple dynamic seq2seq
  • Character-Level Language Model