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The main aim of this paper is to implement a Artificial Neural Network to recognize and predict Handwritten digits from 0 to 9. A dataset comprises 5000 samples of number digits with different strokes are taken for our work. The dataset was trained using gradient descent Back-propagation algorithm and further tested using the Feed-forward algorithm. The system performance is observed by varying regularization...