The handwritten digit recognition problem becomes one of the most famous problems in machine learning and computer vision applications. Many machine learning techniques have been employed to solve the ...

Handwritten digit recognition using a deep neural network on the MNIST dataset. Achieved 96.5% test accuracy and tested with custom images. Includes GUI for image upload and real-time prediction us ...

Learn how to train a neural network to recognize hand-drawn digits using PyTorch! A fun and beginner-friendly intro to deep learning and computer vision.

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Handwritten digit recognition plays a critical role in applications ranging from optical character recognition (OCR) to banking and postal code identification. While deep learning techniques, ...