The ability to try many different neural network architectures to address a problem is what makes deep learning really powerful, especially compared to shallow learning techniques like linear regression, logistic regression, etc. In this assignment, you will:
Explore the CIFAR10 dataset
Set up a training pipeline to train a neural network on a GPU
Experiment with different network architectures & hyperparameters
Use the starter notebook(s) to get started with the assignment. Read the problem statement, follow the instructions, add your solutions, and make a submission.