A couple of years ago, when I was first learning about deep learning, I wrote my own little computational graph “library.” I put “library” in quotes because it was really just one small Python script implementing the core operations used for building up deep learning models. I found the code the other day while looking through some old folders, and I thought I’d throw it up on my GitHub with a little readme and a short demo. Check it out here. If you want to learn more about deep learning and computational graphs, I highly recommend both the cs231n notes and the Deep Learning book.