Abstract: This study presents a comparative analysis of Urdu digits recognition using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Decision Trees, KNearest Neighbors (KNN), ...

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This project uses deep learning to recognize handwritten digits (0–9) based on the MNIST dataset. It includes a training pipeline, model testing, and a Flask web interface for real-time digit ...

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Abstract: The capability of ML (Machine Learning) algorithms to recognize images of handwritten numerals is known as HDR (Handwritten Digit Recognition). Because handwritten numerals are imperfect and ...