Neural Networks : Lecture 1-Coursera-Toronto University

Neural networks are primary modeled from  human brain messaging and learning methods.Though much simpler, machines make neural nets through connections caused by electrical charges,instead of using the blood flow our brain excites to create energy.These are much simpler than real neurons, but they're still complicated enough, to allow us to make neural nets, that do some
very interesting kinds of machine learning .In order to understand anything complicated, we have to idealize it.That is, we have to make simplifications
that allow us to get a handle on how it might work.With atoms, for example, we simplify themas behaving like little solar systems. Understanding  how the brain functions sustains the analogy. Prior knowledge of surgery is NOT required.