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