| # Recurrent Neural Networks |
| This folder contains RNN examples using a low-level symbol interface. You can get the source code for this example on [GitHub](https://github.com/dmlc/mxnet/tree/master/example/rnn). |
| |
| ## Python |
| |
| - [lstm.py](lstm.py). Functions for building an LSTM Network |
| - [gru.py](gru.py). Functions for building a GRU Network |
| - [lstm_bucketing.py](lstm_bucketing.py). A PennTreeBank language model using LSTM |
| - [gru_bucketing.py](gru_bucketing.py). A PennTreeBank language model using GRU |
| - [char-rnn.ipynb](char-rnn.ipynb). A notebook that demonstrates how to train a character LSTM by using ```lstm.py``` |
| |
| |
| Performance Note: |
| |
| Using more ```MXNET_GPU_WORKER_NTHREADS``` may lead to better performance. For information on setting ```MXNET_GPU_WORKER_NTHREADS```, refer to [Environment Variables](http://mxnet.io/how_to/env_var.html). |
| |
| ## Next Steps |
| * [MXNet tutorials index](http://mxnet.io/tutorials/index.html) |
