This was my introduction to Machine Learning and AI.
It started on the 6th of March 2020 with me watching some videos on youtube
I was hooked and decided to make my own implementation in go.
After a long month of research, trial, error asking people algebra questions, I finally got it to work. I successfully trained my first neural network - it taught itself how to solve the XOR problem.
After some more tweaking around (and refactoring) with gone I also managed to make the ever-so-famous digit classifier using the MNIST dataset. I managed to squeeze 95% accuracy on Kaggle's Digit Recognizer Competition
The source code for this can be found on GitHub.