AlexNet is a groundbreaking type of neural network known as a Convolutional Neural Network (CNN), or ConvNet that followed 1998s LeNet-5. This innovative architecture was developed by Alex Krizhevsky, who worked closely with fellow student Ilya Sutskever and Geoffrey Hinton during his time as a Ph.D. student at the University of Toronto. The collaborative efforts culminated in the introduction of AlexNet in their seminal paper titled "ImageNet Classification with Deep Convolutional Neural Networks," which was published in 2012. This paper not only presented the architecture of AlexNet but also detailed…