After my graduation with engineering degree in Electronics and Telecommunication I was really worn down from all this writing, thesis defending and other stress so I had a longer brake between projects. Then as usual I started something new because I wanted to learn more! This project is from all other category - we used python on university (For me it is always better to use python with SCIPY than Matlab 😄) so I started to go deeper on it and I stumbled upon a book about Deep Learning with python by François Chollet (As I found out later He was the guy who created Keras library). It is really fascinating that from some matrix multiplication you can basically predict everything, and you don't have to build a standard program, just construct a model to a proper data set! Unfortunately my journey with ML hit a wall when I started to learn more about conv nets and image recognition, because I don't have a computer with proper graphics card and model learning started to get really long... But all this knowladge and written code did not go to waste, I used practically all of it when I was helping my Fianc? when she was starting with Deep Learning in her new Job! Code from this project is on Github, but I don't know if it's stil valid, because Keras now is a part of Tensorflow and some things could have changed.