This code implements multi-layer Recurrent Neural Network (RNN, LSTM, and GRU) for training/sampling character-level language models. In other words the model takes one text file as input and trains a Recurrent Neural Network that learns to predict the next character in a sequence.

char-rnn-master
...............\.gitignore
...............\Readme.md
...............\convert_gpu_cpu_checkpoint.lua
...............\data
...............\....\tinyshakespeare
...............\....\...............\input.txt
...............\inspect_checkpoint.lua
...............\model
...............\.....\GRU.lua
...............\.....\LSTM.lua
...............\.....\RNN.lua
...............\sample.lua
...............\train.lua
...............\util
...............\....\CharSplitLMMinibatchLoader.lua
...............\....\OneHot.lua
...............\....\misc.lua
...............\....\model_utils.lua

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