| <!--- Licensed to the Apache Software Foundation (ASF) under one --> |
| <!--- or more contributor license agreements. See the NOTICE file --> |
| <!--- distributed with this work for additional information --> |
| <!--- regarding copyright ownership. The ASF licenses this file --> |
| <!--- to you under the Apache License, Version 2.0 (the --> |
| <!--- "License"); you may not use this file except in compliance --> |
| <!--- with the License. You may obtain a copy of the License at --> |
| |
| <!--- http://www.apache.org/licenses/LICENSE-2.0 --> |
| |
| <!--- Unless required by applicable law or agreed to in writing, --> |
| <!--- software distributed under the License is distributed on an --> |
| <!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY --> |
| <!--- KIND, either express or implied. See the License for the --> |
| <!--- specific language governing permissions and limitations --> |
| <!--- under the License. --> |
| |
| RNN Example |
| =========== |
| This folder contains RNN examples using low level symbol interface. |
| |
| ## Data |
| Run `get_sherlockholmes_data.sh` to download Sherlock Holmes 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) Sherlock Holmes language model by using LSTM |
| - [gru_bucketing.py](gru_bucketing.py) Sherlock Holmes 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/faq/env_var.html). |