AlexNet

AlexNet is a pioneering deep learning model designed for image recognition tasks. Created by researchers Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton, it won the 2012 ImageNet competition by significantly outperforming previous approaches. The model uses a deep neural network with multiple layers that process images in a hierarchical manner. It automatically learns to identify features such as edges and textures, leading to improved accuracy in classifying images. AlexNet's success marked a turning point in artificial intelligence, demonstrating the power of neural networks and driving further advancements in machine learning and computer vision.