Deep learning arrives (AlexNet)

A deep neural network called AlexNet crushes the ImageNet image-recognition contest, triggering the modern AI boom by showing that deep networks, trained on GPUs, work.

2012AI

In 2012, a deep convolutional neural network named AlexNet — built by Alex Krizhevsky, Ilya Sutskever and Geoffrey Hinton — won the ImageNet image-recognition competition by a stunning margin, roughly halving the error rate of the best traditional methods.

Why it mattered

Neural networks were decades old (see Educatifu's AI track), but had long been dismissed as impractical. AlexNet showed that with three ingredients — big datasets, GPUs for training, and deeper networks — they suddenly, dramatically worked. Nearly every AI system that followed, from image and speech recognition to today's large language models, descends from the wave AlexNet started.

Sources

[1]AlexNet — Wikipediaen.wikipedia.org
[2]ImageNet Classification with Deep CNNs (Krizhevsky et al., 2012)papers.nips.cc

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