├── README.md ├── RL.md ├── imgs ├── README.md ├── SGD.PNG ├── adadelta.png ├── adadelta_decay.png ├── adam.png ├── bilstm.png ├── bilstm_cnn.png ├── doc2vecc.png ├── doc2vecc_2.png ├── qlearning.png ├── sarsa.png ├── sequential_matching.png └── sgd_fluctuation.png ├── pdfs ├── Adversarial dialog model.pdf ├── Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models.pdf ├── CRF.pdf ├── GAN_introduction.pdf ├── Learning to generate reviews and discovering sentiment.pdf ├── MDP.pdf ├── NMT_multiple_mode.pdf ├── N_point_process.pdf ├── QA_LSTM_CNN_ATTENTION_IBM.pdf ├── Restricted Boltzmann Machines INTRODUCTION.pdf ├── VAE.pdf ├── a network based end to end task oriented dialog system.pdf ├── basic knowledge of nn.pdf ├── batch_normalization.pdf ├── doc2vecc.pdf ├── introduction to different gradient descends.pdf ├── mcmc and gibbs sampling introduction.pdf ├── message passing algorithms.pdf ├── requests.pdf ├── residual_lstm.pdf ├── sequential Matching 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