MNIST++ is a project developed by students from UTEC as a course project for CS1103. It focuses on implementing the Backpropagation algorithm in C++ for recognizing handwritten digits using the MNIST dataset.
We share with you our presentation: https://www.beautiful.ai/player/-NWtcsAmPmBlmQJpn9oW/MNIST
| Name | GitHub User | |
|---|---|---|
| Roger Huauya Mamani | roger.huauya@utec.edu.pe | Rogerhuauya |
| Gabriel Romero | gabriel.romero@utec.edu.pe | gabrielromerod |
| Mauricio Jacobo Ruiz | david.jacobo@utec.edu.pe | Mauwt |
| Samanta Susana Chang Kuoman | samanta.chang@utec.edu.pe | ChangKuoman |
| Jonathan Quilca Valenzuela | jonathan.quilca@utec.edu.pe | jonyyy1 |
| Arturo Barrantes | arturo.barrantes@utec.edu.pe | arturombc |
Please check out the Wiki for specific documentation of the project and its functionalities. In case you want to access information more quickly, the /docs directory contains detailed documentation for the code.
For instructions on installing and running the project, please refer to the /wiki/web section.
The MNIST dataset used for training and evaluation is stored in the /data directory. Please ensure that the necessary files are available in this location.
This project is licensed under the LICENSE file.
Feel free to explore the project structure and documentation provided. If you have any questions or feedback, please don't hesitate to reach out to any of the team members listed above.
Happy coding! ✨👩💻👨💻