PyTorch Image Classification

This repository provides a collection of PyTorch-based implementations for image classification tasks. It includes various architectures like CNN, ResNet, and DenseNet. The project demonstrates how to use PyTorch’s dynamic computation graph for training models and includes detailed instructions for training on different datasets, such as CIFAR-100, MNIST, and others.