artificial-intelligence-vs-machine-learning

Neural networks use hyperparameters that distinguish objects and actions. A computer analyzes everything using numbers, so when it is fed an image, it sees that image as a set of numbers. If a neuron sees that an object's numbers fall within its range, then that neuron "fires." That means that if a neuron is trying to distinguish if a person is smiling, and the set of numbers it reads on an image falls within its hyperparameters, then the neuron would fire'yes,' and predict that the person is smiling.