AlexNet

A deep neural network trained on graphics processors wins the ImageNet image-recognition competition by a large margin. The modern deep-learning era accelerates.

Why it is in the museum

Neural networks learn by adjusting large numbers of numerical weights. The idea is old, but the scale of data and computing made it far more powerful.

What supports this exhibit

Primary conference paper

AlexNet’s ImageNet performance and the importance of GPU training.

Main source: Krizhevsky, Sutskever & Hinton (2012), NeurIPS 25.

Open the source

What to keep in mind: Primary source.

Ask the exhibit

This small guide uses only the information documented on this exhibit page. If your question goes beyond that evidence, it will say so instead of inventing an answer.

Start with one of the suggested questions above, or type your own.