This is an implementation of a GRU in C++ using no libraries other than Eigen for Matrices. This is a barebones implementation that uncovers the complexity of backpropagation. All equations have been derived and implemented.
Create a folder for weights called Weights
Usage -
make
./train
./test `epoch_number` `loss`
e.g. ./test 66 0.397798
