The Perceptron: The Simple Building Block That Proved Neural Networks Could Be Universal Computers
The perceptron is one of the earliest and most elegant ideas in artificial neural networks. Introduced by Frank Rosenblatt in 1958 (and implemented on the Mark I Perceptron computer), it is essentially a single artificial neuron that makes a binary decision: yes/no, 0/1, fire/don’t fire. Despite its simplicity, the perceptron revealed something profound: networks of […]









