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Hands-On Machine Learning with C# by Matt R. Cole

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CIFAR-100

The CIFAR-100 dataset is just like CIFAR-10, except that it has 100 classes containing 600 images each. There are 500 training images and 100 testing images per class. The 100 classes in CIFAR-100 are grouped into 20 superclasses. Each image comes with a fine label (the class to which it belongs) and a coarse label (the superclass to which it belongs). Here is the list of classes in CIFAR-100:

Superclass

Classes

Aquatic mammals

Beaver, dolphin, otter, seal, and whale

Fish

Aquarium fish, flatfish, ray, shark, and trout

Flowers

Orchids, poppies, roses, sunflowers, and tulips

Food containers

Bottles, bowls, cans, cups, and plates

Fruit and vegetables

Apples, mushrooms, oranges, pears, and sweet peppers ...

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