Algebra is a personal learning project. The goals are to rediscover c++ with this books' code reimplementation. It mostly contains experiments and unoptimized code, but i guessed that you should already know that since it has only learning purposes.
If you have suggestion on the code itself or the tooling used, i am open to learn cool new stuff.
The code should be easily compile on any unix compatible OS, but it's not
tested. Dependencies are contained in the /deps directory.
To run the code you should be running
make && ./bin/runTest are launched with make test command.
Neural network is highly inspired by: Michael A. Nielsen, "Neural Networks and Deep Learning", Determination Press, 2015
The original python code is available at https://github.com/mnielsen/neural-networks-and-deep-learning