Ahmad-Ali-Rafique/Handwritten-Digit-Recognition-MNIST
This project demonstrates a complete pipeline for recognizing handwritten digits using the MNIST dataset. The project is implemented in Python using Jupyter Notebook, and it covers data loading, preprocessing, model training, and performance evaluation of a Fully Connected Neural Network (FCNN).
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Jun 15, 2024
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