This is an image classification model based on the AlexNet architecture. AlexNet is a convolutional neural network (CNN) designed for image classification tasks. It consists of eight layers—five convolutional layers followed by three fully connected layers. This model has been pre-trained on the ImageNet dataset and can classify images into one of ten classes: Airplane, Car, Bird, Cat, Deer, Dog, Frog, Horse, Ship, or Truck. The model takes an image as input and outputs the predicted class along with its probability.