Long Short-Term Memory Recurrent Neural Networks
C++ CMake
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CMakeLists.txt
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README.md

long short-term memory recurrent net

Bi-directional LSTM recurrent neural networks (C++ / OpenCV).

To run this code, you should have

  • OpenCV.

Compile & Run

  • Compile by running:
cmake .
make
  • Run:
./lstm

Structure and Algorithm

See my tech-blog.

UPDATES

  • word2vec supported.
  • bi-directional LSTM.
  • CoNLL04 dataset support.

TODO

  • bug fixes...

Config Files

Multi-Layer

This network supports multiple hidden layers.

The MIT License (MIT)

Copyright (c) 2015 Xingdi (Eric) Yuan

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.