Well then they should get rid of the misleading title “from scratch” it makes it sound like they are going to explain it without beltching out a bunch of abstract math. I’m really annoyed that everyone pretends that you need math to explain a NN. I have done plenty of them without numpy or math using just arrays and loops.
This is not abstract math, and the article does explain what it's doing before presenting the code snippets.
How can you explain or implement gradient descent without math? At some point I think you have to accept that this is a topic that involves math, and you're way better off understanding it on those terms rather than trying to avoid it.
