AlexNet is a type of neural network called a Convolutional Neural Network (CNN). Alex Krizhevsky designed it in collaboration with Ilya Sutskever and Geoffrey Hinton, who was Krizhevsky's Ph.D. advisor at the University of Toronto. AlexNet was introduced in a paper titled 'ImageNet Classification with Deep Convolutional Neural Networks' in 2012. It won the "ImageNet Large Scale Visual Recognition Challenge (ILSVRC)" that year, with an impressive top-5 test error rate of 15.3% - significantly improving…