AmanJ10 / Handwritten-Digit-Recognition

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Handwritten Digit Recognition

This project focuses on building a model for recognizing handwritten single-digit images using the MNIST dataset. The goal is to develop a deep learning model that accurately classifies and predicts the digits (0-9) present in the input images.

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