A simple handwritten digit classifier built using the MNIST database, keras and numpy inspired by Hack Club's Handwriting Recognition workshop. This project uses a neural network with 3 dense layers, including the input and output. This particular case uses Mean Squared Error as the error metric and has a accuracy of about 97.8%
Sarthak-Dayal/MNIST-Digit-Classifier
A handwritten digit classifier built using the MNIST database, keras and numpy. Inspired by Hack Club's Handwriting Recognition workshop.
Python