From Neural Network Frustration to Mathematical Innovation

I hit a wall with deep learning — so I built something new: a symbolic, interpretable, hyperdimensional pattern discovery system.

It's not another black-box AI. It preserves all information and finds patterns deep nets miss.

Read the full story on Medium : https://medium.com/@ayodeleanjola4/from-neural-network-frustration-to-mathematical-innovation-the-birth-of-matrixtransformer-d7e2a50411ce

GitHub: https://github.com/fikayoAy/MatrixTransformer

Would love to hear what you think, especially if you work with bio data, embeddings, or unsupervised ML.