36 lines
No EOL
2.2 KiB
Markdown
36 lines
No EOL
2.2 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 sources, 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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- [Neural Network Framework in C](https://medium.com/analytics-vidhya/building-neural-network-framework-in-c-using-backpropagation-8ad589a0752d)
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- [Simple Neural Network Implementation in C](https://towardsdatascience.com/simple-neural-network-implementation-in-c-663f51447547)
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- [3Blue1Brown Neural Network Series](https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi)
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- [Brotcrunsher's YouTube Videos](https://www.youtube.com/watch?v=oCPT87SvkPM&pp=ygUbYnJvdCBjcnVzaGVyIG5ldXJhbCBuZXp3ZXJr), [Video 2](https://www.youtube.com/watch?v=YIqYBxpv53A&pp=ygUbYnJvdCBjcnVzaGVyIG5ldXJhbCBuZXp3ZXJr), [Video 3](https://youtu.be/EAtQCut6Qno)
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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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