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