One of those people who have heard about neural networks and machine learning n+1 times but don’t really understand the actual fundamental basics behind it? I surely am. Well, of course I know that there are some ways of training a network with pre-labeled data and then discovering similarities in never-seen data and yada yada but I’m not a person to teach the inner workings to anyone. It’s one of the subjects that are so this and that and buzzing all over the place but I’ve never found it so interesting that I would have dug into it.
I really suggest you watch 3Blue1Brown’s series on the subject. Watch through all of them. Don’t skip anything.
One of the best series I’ve seen anywhere. Check them out!
But what *is* a Neural Network? | Deep learning, chapter 1
Gradient descent, how neural networks learn | Deep learning, chapter 2
What is backpropagation and what is it actually doing? | Deep learning, chapter 3
Backpropagation calculus | Appendix to deep learning chapter 3