Update README.md

README.md

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-license: mit
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+---
+license: mit
+datasets:
+- cifar10
+language:
+- en
+metrics:
+- accuracy
+pipeline_tag: image-classification
+---
+
+# Title: AlexNet Image Classifier
+
+# Description:
+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.