Deep Learning

Deep Learning

Pytorch Mysteries - Lets understand nn.Module, nn.Parameter, ModuleList, Sequential, and the classic layers Linear, Activations, Dropout

If you’ve ever built a PyTorch model that “runs” but mysteriously never learns, there’s a good chance you forgot to regi...

Deep Learning

PyTorch Autograd - The DAG You Built Without Realizing It

PyTorch’s autograd isn’t magic—it’s a graph recorder plus a brutally practical reverse traversal. In this post I walk th...

Deep Learning

Shapes, Broadcasting, and Ghost Gradients: A Practical PyTorch Basics Guide

I built a PyTorch notebook to kill the two most common time-wasters - shape bugs and confusing gradients - using asserta...