javascript6

henryle-n/Handwriting-Prediction-Tensorflow2

In this project, a sophisticated deep learning model called Convolutional Neural Network in conjunction with Dense Network (~20 million parameters) was utilized for predicting human handwritten digits with 98% accuracy with only 5 training epochs. The front end was designed to allow user to input their handwritten on a canvas and the machine will predict what number it is. Every stroke made on the canvas will be predicted in real-time. The finished product is hosted on AWS by docker containers.