AirPack/DockerFile - Docker file used to create the NVIDIA and TensorFlow training environment
AirPack/airpack/fileio.py - Python class that utilizes tensorflow.
data - the optimized TensorFlow input data pipeline - for the reading
from the binary data files. This allows you to easily achieve peak
throuput performance with a data input pipeline that delivers data for
the training next step before the current training step has finished.
AirPack/airpack/model.py - A simple convolution neural network (CNN)
written in Python and TensorFlow that accurately classifies RF signals
and is deployable on the AIR-T. Because all parameters of the model
parameters are brought out as variables, the model may be easily modified.
AirPack/data - location to place training and test data set
Training data should be placed in an AirPack/data/train subfolder
Test data should be placed in an AirPack/data/test subfolder
