Handwritten Digit Recognition using FeedForward Neural Network This Model Employs 'Feed-Forward Neural Network' architecture to identify digits in a handwritten digit Data used here is sourced from MNIST Database Final Accuracy: 96.65% Dataset: MNIST Handwritten Digits: Accuracy & Loss: Accuracy of the model plotted against no. of iterations (epochs) Loss of the model plotted against no. of iterations (epochs) Predictions: