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✏️ An AI-driven web app for handwritten digit recognition using the MNIST dataset. It leverages TensorFlow for deep learning model training and Gradio to create an intuitive, interactive UI. Users can draw digits and receive instant predictions, showcasing practical AI deployment and real-time inference capabilities.
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Merge branch 'main' of https://github.com/NhanPhamThanh-IT/Handwritten-Digits-Classification
1dc52c1View on GitHub[remove] delete old system-variables.py config file
985823bView on GitHub[config] add __init__.py to make configs a Python package
a278d50View on GitHub[feat] add application screenshot for documentation
fbabac0View on GitHub[docs] Update requirements.txt - remove the not exist version of all package
d183bacView on GitHub[refactor] Update main.py to use SystemVariables configuration
7cdd93fView on GitHub[config] Add system variables configuration for digit recognition app
feff4ddView on GitHub[docs] Add comprehensive TensorFlow guide for ML model development
48a7d6fView on GitHub[docs] Add comprehensive MNIST dataset documentation
812f9e0View on GitHub