Simple project, learning about neural networks and supervised learning. Implemented neural network from scratch using a gradient descent algorithm.
Project contains:
- A training program which produces a file of the trained model (takes a few minutes).
- An interactive digit classification which allows drawing in real time.
- Simple digit classification from a picture. (picture should have a white background, like a paper).
run Main.py from any of the files.
requires numpy, pillow and mnist dataset library for training progra (or you can use the already trained model).
It has some issues reading from paper with some of the digits, so the overall accuracy from a picture is around 67%.
