Learn Neural Networks With Go—Not Math!
It’s common for even the most amazing programmers to not have the first clue about math. That makes learning neural networks particularly inaccessible, as an integral part of explaining it relies on mathematical formulas. Ah, the formulas… with all their lines and curves and ancient symbols, they are just as unintelligible as they are beautiful. What’s a better way for us to learn it instead? With a language we all speak: code! In this talk we’ll look at every component required to write a neural network from scratch. Things like network structure, activation functions, forward propagation,
Ellen’s a developer advocate at Garden, and also an avid gopher—responsible for the most comprehensive Go course in Portuguese. They first got acquainted with Kubernetes while writing code for kubectl, in a SIG-CLI internship. They've spoken at world-famous events, and at countless local meet-ups. Ellen is a proud recipient of a 'Best Hair' award.