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Digit Recognition System

Built a Convolution Neural Network from scratch (Using NumPy and SciPy) to classify handwritten digits ranging from 0 to 9. Achieved ~98.3% accuracy using the handwritten dataset obtained from the University of California, Irvine Machine Learning Repository.

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