What is the typical target when using the CIFAR-10 dataset in CNNs?

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😎 The CIFAR-10 dataset includes a set of images. That’s fine. When using this dataset trained in a convolutional neural network, what is the typical target?
🤖 When using the CIFAR-10 dataset trained in a convolutional neural network (CNN), the typical target is the class label of each image. The CIFAR-10 dataset consists of 60,000 32×32 color images in 10 different classes, with 6,000 images per class. The 10 classes are:

1. Airplane
2. Automobile
3. Bird
4. Cat
5. Deer
6. Dog
7. Frog
8. Horse
9. Ship
10. Truck

Each image in the dataset is associated with one of these class labels, and the CNN is trained to classify each image into one of these 10 categories. The target, therefore, is the categorical label indicating the class to which the image belongs.

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