The code takes a time-delay neural network (TDNN) trained in Matlab and converts it to a C++ class.
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.gitignore Initial commit Jan 3, 2017
README.md

README.md

README

This program takes a time-delay neural network (TDNN) trained in Matlab using timedelaynet of Matlab's Neural Network Toolbox and creates the header and source files of the new C++ class TDNNClassifier implementing the trained time-delay neural network.

This is useful for deploying code developed in Matlab into embedded applications where Matlab is not available.

Usage

The Matlab function extractNeuralNetwork takes as input a trained time-delay neural network and outputs the header files Data.h and TDNNClassifier.h and the source file TDNNClassifier.cpp. For a detailed usage example see the files example.m and example.cpp.

For any comments or questions, please email david.hasenfratz@gmail.com

License

The MIT License (MIT)

Copyright (c) 2017 David Hasenfratz

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.