AlexNet Source Code Released: The Dawn of the Deep Learning Revolution

In 2012, Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton's AlexNet demonstrated, for the first time, the massive potential of deep neural networks for image recognition, ushering in the era of deep learning. Recently, the source code for AlexNet was open-sourced, a collaboration between the Computer History Museum and Google. AlexNet's success stemmed from its scale—a large convolutional neural network trained using immense computing power and the ImageNet dataset, overcoming previous limitations of deep learning. This breakthrough fueled decades of innovation in AI, leading to companies like OpenAI and applications like ChatGPT, transforming the world.