Activation Functions make the decision of whether or not to pass a signal to the next layer. They take in the weighted sum of inputs plus a bias as an input. They are usually applied…
In supervised learning, the data has a supervisor (label) to help learn the mapping function. An input variable (x) and an output variable (y) are paired together and put into the ‘black box’ to produce Y=f(X).
Machine Learning, Deep Learning, Artificial Intelligence, Data Science.
Siri, Automatic Driving, AlphaGo, Machines composing Mozart-like pieces.