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cifar100-keras.ipynb
requirements.txt

# CNN - CIFAR-100 CNN image classifier on the [CIFAR-100](https://www.cs.toronto.edu/~kriz/cifar.html) dataset. ## Description The CIFAR-100 dataset contains images of 100 unique classes. There are 600 images (500 training, 100 testing) of each class. | Superclass | Classes | ------------------------------ | ----------------------------------------------------- | aquatic mammals | beaver, dolphin, otter, seal, whale | fish | aquarium fish, flatfish, ray, shark, trout | flowers | orchids, poppies, roses, sunflowers, tulips | food containers | bottles, bowls, cans, cups, plates | fruit and vegetables | apples, mushrooms, oranges, pears, sweet peppers | household electrical devices | clock, computer keyboard, lamp, telephone, television | household furniture | bed, chair, couch, table, wardrobe | insects | bee, beetle, butterfly, caterpillar, cockroach | large carnivores | bear, leopard, lion, tiger, wolf | large man-made outdoor things | bridge, castle, house, road, skyscraper | large natural outdoor scenes | cloud, forest, mountain, plain, sea | large omnivores and herbivores | camel, cattle, chimpanzee, elephant, kangaroo | medium-sized mammals | fox, porcupine, possum, raccoon, skunk | non-insect invertebrates | crab, lobster, snail, spider, worm | people | baby, boy, girl, man, woman | reptiles | crocodile, dinosaur, lizard, snake, turtle | small mammals | hamster, mouse, rabbit, shrew, squirrel | trees | maple, oak, palm, pine, willow | vehicles 1 | bicycle, bus, motorcycle, pickup truck, train | vehicles 2 | lawn-mower, rocket, streetcar, tank, tractor ## Getting Started ### Dependencies * Python 3.5+ ### Installation 1. Clone repository ``` git clone https://github.com/j584lee98/CNN-CIFAR100 cd CNN-CIFAR100/ ``` 2. Install libraries ``` pip install -r requirements.txt ``` ### Execution ``` ```

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