mahdizynali/MazeNet

Mnist digits multi perceptron neural-network training from scratch with c++ and opencv matrix. (nn with c++)

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Experimental

This project helps developers learn the fundamentals of neural networks by implementing a basic multi-layer perceptron from scratch in C++. It takes the MNIST handwritten digit dataset as input and produces trained neural network weights as a YAML file. This is for C++ developers and students interested in understanding the core mechanics of neural network training without relying on high-level libraries.

No commits in the last 6 months.

Use this if you are a C++ developer or student who wants to understand how a simple neural network for digit recognition is built and trained from the ground up.

Not ideal if you are looking for a robust, high-performance, or feature-rich neural network library for practical application development.

C++-development neural-network-fundamentals machine-learning-education handwritten-digit-recognition computer-science-education

No License Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 4 / 25

Maturity 8 / 25

Community 0 / 25

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