Neural Networks are, more often than not, treated as black boxes: there’s this strange idea of them copying the human brain in such a complex way that no human could ever understand, but that couldn’t be farther from the truth. Neural Networks are actually, conceptually, quite simple in how they work and make up for their simplicity by adding more and more stuff on top of them.
Knowing how Neural Networks work is a must for anyone who wants to work in the field of Machine Learning, but even as a bystander having a clear mental image of how stuff works can open your mind to new concepts.
In this workshop we’ll completely demystify how Neural Networks of all kinds work, not by completely disregarding the math side of things, but by actually using it in a human way (instead of cold artificial matrix multiplications).