Translations:ImageNet Classification with Deep CNNs/24/en

The paper introduced or popularized several techniques (ReLU, dropout, GPU training, data augmentation) that became standard practice. It directly influenced subsequent architectures including VGGNet, GoogLeNet, and ResNet. The use of GPUs for training, pioneered in this work, transformed the hardware landscape for machine learning and drove the development of specialized AI accelerators.