| RNN Example |
| =========== |
| This folder contains RNN examples using low level symbol interface. |
| |
| ## Data |
| Run `get_ptb_data.sh` to download PenTreeBank data. |
| |
| ## Python |
| |
| - [lstm.py](lstm.py) Functions for building a LSTM Network |
| - [gru.py](gru.py) Functions for building a GRU Network |
| - [lstm_bucketing.py](lstm_bucketing.py) PennTreeBank language model by using LSTM |
| - [gru_bucketing.py](gru_bucketing.py) PennTreeBank language model by using GRU |
| - [char-rnn.ipynb](char-rnn.ipynb) Notebook to demo how to train a character LSTM by using ```lstm.py``` |
| |
| |
| Performance Note: |
| More ```MXNET_GPU_WORKER_NTHREADS``` may lead to better performance. For setting ```MXNET_GPU_WORKER_NTHREADS```, please refer to [Environment Variables](https://mxnet.readthedocs.org/en/latest/how_to/env_var.html). |
