Event · 1958-11
Machine perception
The perceptron
Rosenblatt demonstrated a system that adjusted its weights from examples and learned simple classifications.
The perceptron added the key practical property to the formal neuron: learning from data. Its algorithm corrected weights after an error and gradually built a linear boundary between classes. Its capabilities were limited, but the modern loop of data, error and parameter update begins here.
Sources
Psychological ReviewOpen primary source