Original Keras2Cpp Repo

This is a touchup of the Keras2Cpp repo to get it running on the latest (Jan 2019) version of Keras as well as to interface it back into Python. The C1Games Terminal AI challenge currently (Feb 2019) doesn't allow for Keras/Tensorflow/Numpy dependencies, so this library is a workaround for gettings things up and running in Python-based algos that want to explore ML.

Feel free to make a pull request if an issue arises/this goes out of date. The idea is to make ML implementations easier for everyone who wants to try them, so sharing fixes is encouraged.

Usage

1. Save your Keras network weights and architecture.
2. Dump network structure to plain text file with dump_to_simple_cpp.py script.
3. Compile network with code from keras_model.h and keras_model.cc files - see examples below.
4. In the case of compiling for uploading to C1Games' Terminal, use the c_wrapper.py interface in your algo.

Example (Terminal)

1. Run one iteration of simple CNN on MNIST data with example/mnist_cnn_one_iteration.py script. It will produce files with architecture example/my_nn_arch.json and weights in HDF5 format example/my_nn_weights.h5.
2. Dump network to plain text file python dump_to_simple_cpp.py -a example/my_nn_arch.json -w example/my_nn_weights.h5 -o example/dumped.nnet.
3. Compile example with either CMake or the alternative ./alt_build.sh when you realize the CMakeLists.txt is broken.
4. Use the c_wrapper.py interface in your algo.

Example (Pure C++)

1. Run one iteration of simple CNN on MNIST data with example/mnist_cnn_one_iteration.py script. It will produce files with architecture example/my_nn_arch.json and weights in HDF5 format example/my_nn_weights.h5.
2. Dump network to plain text file python dump_to_simple_cpp.py -a example/my_nn_arch.json -w example/my_nn_weights.h5 -o example/dumped.nnet.
3. Compile example g++ -std=c++11 keras_model.cc example_main.cc - see code in example_main.cc.
4. Run binary ./a.out - you shoul get the same output as in step one from Keras.

Testing

[Ryan D note: The testing script is not updated to the latest version of Keras. You can make a pull request if you fix it, but it's not a needed script.] If you want to test dumping for your network, please use test_run.sh script. Please provide there your network architecture and weights. The script does the following job:

1. Dump network into text file.
2. Generate random sample.
3. Compute predictions from keras and keras2cpp on generated sample.
4. Compare predictions.