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.