30 lines
1.1 KiB
Markdown
30 lines
1.1 KiB
Markdown
# C-net ඞ
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## Description
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C-net ඞ is a Python project designed to read and predict numbers from the MNIST dataset using neural networks.
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## Visuals
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## Roadmap
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- [x] Implemented an Image Loader for MNIST dataset.
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- [x] Created a prediction function for recognizing handwritten digits.
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- [x] Developed matrix calculation methods to support neural network operations.
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- [x] Added functionality to load and save neural network models.
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- [x] Successfully trained the network on MNIST images.
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- [x] Achieved an accuracy rate with a confidence level above 90%.
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- [ ] Ongoing optimization and code refinement.
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## Authors and Acknowledgments
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This project was brought to you by the following contributors:
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- Stornig, Jakob
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- Schleicher, Thomas
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- Dworski, Daniel
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- Walcher, Raphael
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We would like to express our gratitude to the following project, which served as an inspiration and reference:
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- [MNIST from Scratch](https://github.com/markkraay/mnist-from-scratch) by markkraay
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## Project Status
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The project is considered finished, but ongoing optimizations and improvements may still be in progress.
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