The 3 Waves of Deep Learning (Why AI Took Decades to Actually Work)

Deep Learning didn’t suddenly work. It failed. Repeatedly. Then - decades later - it changed everything. Cross-posted from Zeromath. Original article: TL;DR There are 3 waves: Perceptron → idea works, but too simple Connectionism → deeper models, but can’t train them Modern Deep Learning → scale finally unlocks everything 👉 Each wave didn’t replace the previous one. It fixed its biggest limitation. Wave 1: Perceptron (1940s-1960s) Goal: simulate a neuron Simple model: input → weights → output basically a linear classifier Why it mattered For the first time, machines could learn from data.