PyTorch Models for Neural Net Practices

This is a personal project for my own practices of deep learning, computer vision and their related training techniques. Involves my personal practices about models, architectures, loss functions, training optimization methods, and more.

Models implemented:

1. AlexNet
2. ResNet 18, 34, 50, 101, 152
3. VGG 11, 13, 16, 19
4. Google Net

Dataset:

Cifar-100