AlexNet is a convolutional neural network architecture developed for image classification tasks, notably achieving prominence through its performance in the ImageNet Large Scale Visual Recognition …

The first modern CNN (Krizhevsky et al., 2012), named AlexNet after one of its inventors, Alex Krizhevsky, is largely an evolutionary improvement over LeNet. It achieved excellent performance in …

Jan 22, 2025 · AlexNet is a convolutional neural network (CNN) that was introduced in 2012. It was designed to recognize images and has been used in many fields, including robotics, medical …

Apr 29, 2024 · AlexNet is an Image Classification model that transformed deep learning. It was introduced by Geoffrey Hinton and his team in 2012 and marked a key event in the history of deep …

Apr 18, 2025 · AlexNet is a deep convolutional neural network introduced by Alex Krizhevsky and his team in 2012. It was developed for the ImageNet LSVRC-2010 competition, where it delivered …

Mar 21, 2025 · On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional neural network (CNN) that many credit with transforming …

Jul 12, 2025 · Most important features of the AlexNet are: Overfitting Prevention: Dropout (0.5) was applied to the first two fully connected layers and data augmentation dynamically expanded the …

Mar 20, 2025 · “This code underlies the landmark paper ‘ImageNet Classification with Deep Convolutional Neural Networks,’ by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton, which …

We report average multi class accuracy using both non-adaptive and adaptive classifiers, changing only the input feature from SURF to DeCAF. Most surprisingly, in the case of the domain shift is largely …

Developed by Alex Krizhevsky under the guidance of AI pioneer Geoffrey Hinton, AlexNet demonstrated the true potential of neural networks when trained with vast amounts of data and computational power.