Digit recognition

Digit recognition system trained using MNIST database. The machine learning was built with TensorFlow 2.0 and Keras libraries and it uses Convolutional Neural Network. The model has achieved an accuracy of 98.84%.

Additionally, the model has been attached to simple Flask backend, which in combination with interactive React.js canvas allows anyone to test out the model with their own writing.