Its been 10 years or so since I looked at ANNs. The last time I did, training them almost meant showing them every possible combination of inputs. There were some that were a little better than others. Does anyone know if there are newer ANN (or other AI) techniques that are better able to guess a function with smaller sample sets?
I’ve seen deep-ai and convoluted ai, these still require large sample sets / lots of training, right? Not to mention complex set-ups?
Along those lines,…