Linear Regression-Based Image Classification

Designed and built for ECE 174 with professor Piya Pal. Source code can be accessed here.

I built an classifier for the MNIST handwritten digits dataset using a linear least squares-based classifier. The numerical routines were done using NumPy, and the design was left to me. The image below shows the performance of different activiation functions when used in a feature mapping.

Performance of Different Activations