Hand written Digit Recognition using MNIST database, Neural Networks and MATLAB GUI

A neural network model trained using batch gradient decent and a training data of 60K images from the MNIST database. An image selected at random from the test set of another 10K images is fed to the trained model. The model results in 99.7% accuracy.