Hi everyone,
I’m trying to understand deep learning but I’m a bit confused. Can someone please explain a basic introduction to deep learning, its different types, and what those terms actually mean? I just want to get a clear picture of the fundamentals.
Deep Learning is basically just supervised machine learning with complicated (multi-layer) neural networks.
I always say “Start with learning about the weighted sum.” You can’t go wrong. And even top level researchers have a lot of assuming type misunderstandings of that thing. You could even get ahead of them quite quickly. I’m not allowed include links but google sites algorithm shortcuts information storage in the weighted sum.