ImageNet Classification with Deep Convolutional Neural Networks

This paper introduces a deep convolutional neural network (CNN) architecture, named AlexNet, that achieved state-of-the-art results on the ImageNet Large Scale Visual Recognition Challenge in 2012. The network's architecture, training techniques, and the use of GPUs for efficient training are discussed. The success of AlexNet demonstrated the power of deep learning for image recognition and sparked significant advancements in the field.