For this part of the assignment, you will be working with the CIFAR100 dataset. This dataset consists of 60K 32x32 color images from 100 classes, with 600 images per class. There are 50K training images and 10K test images. The images in CIFAR100 are of size 3x32x32, i.e. 3-channel color images of 32x32 pixels.

We have modified the standard dataset to create our own CIFAR100 dataset which consists of 45K training images (450 of each class), 5K validation images (50 of each class), and 10K test images (100 of each class). The training and val datasets have labels while all the labels in the test set are set to 0. You can tune your model on the validation set and obtain your performance on the test set by uploading a CSV file to this Kaggle competition.