AlexNet exerted a significant influence on contemporary deep learning. In 2012, Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton created a groundbreaking method for picture identification tasks. Their approach utilized deep convolutional neural networks (CNNs), leading to a significant advancement in this field. AlexNet showcased the substantial enhancement in accuracy that deep learning might bring to computer vision tasks. The model achieved a significant victory in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), surpassing the second-place entry by a wide margin. It had