AlexNet, the revolutionary neural network introduced in 2012, didn't immediately steal the spotlight but instead quietly laid the cornerstone for today's deep learning explosion. Developed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton from the University of Toronto, it triumphed in the ImageNet competition that same year. Recently, after years of diligent negotiation, Google, in partnership with the Computer History Museum (CHM), has made a groundbreaking move by releasing the original source code of AlexNet to the public. For further insights, visit: https://github.com/computerhistory/AlexNet-Source-Code. This action is monumental in tracing the evolution of deep learning.
