ataturhan21/MNIST-Digit-Classification-PyTorch

A complete solution for the MNIST handwritten digit classification challenge using PyTorch, including data exploration, model training, and Kaggle submission generation.

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Experimental

This project helps developers and data scientists learn the fundamentals of deep learning by classifying handwritten digits. It takes grayscale images of digits as input and outputs a prediction of the digit (0-9). The main users are individuals new to deep learning or PyTorch, looking for a hands-on introduction.

No commits in the last 6 months.

Use this if you are a developer or data scientist looking for a complete, runnable example to learn about deep learning, PyTorch, and image classification, especially for Kaggle competitions.

Not ideal if you need a production-ready solution for complex image recognition tasks or a library for integrating into existing applications.

deep-learning-education image-classification-tutorial pytorch-introduction machine-learning-starter kaggle-competition-template
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 0 / 25

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25

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Language

Jupyter Notebook

License

MIT

Last pushed

Nov 20, 2024

Commits (30d)

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