Introduction to PyTorch for Image Classification

Explore how to use PyTorch for image classification by preparing datasets, building and training neural networks, applying fine-tuning techniques, and conducting inference. Understand key steps like data splitting, augmentation, loss calculation, and model evaluation to develop robust image classification models.