CIFAR100-CNN-PyTorch

I'm playing with PyTorch on the CIFAR100 dataset.

Prerequisites

• Python 3.6+
• PyTorch 1.0+

Dataset

The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists of 60000 32x32 color images. The 100 classes in the CIFAR-100 are grouped into 20 superclasses. There are 600 images per class. Each image comes with a "fine" label and a "coarse" label . There are 500 training images and 100 testing images per class.

Results

• Accuracy : %62.3 (last)

References

https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html  
https://pytorch.org/docs/stable/_modules/torchvision/datasets/cifar.html#CIFAR100  
https://rodrigob.github.io/are_we_there_yet/build/classification_datasets_results.html#43494641522d313030