Project
MNIST Neural Network from Scratch
Training an image classifier from the ground up — no ML libraries allowed.
A neural network for MNIST digit classification written without PyTorch, TensorFlow, or any other ML library. Forward pass, backpropagation, and the optimizer all implemented directly. Nothing is hidden behind a framework call — every gradient is one I had to derive and write down.