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:

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