Dive into the world of image classification model training with PyTorch on Jetson Nano in this comprehensive 33-minute video. Learn transfer learning techniques, starting with re-training a ResNet-18 model on a cat/dog dataset. Follow step-by-step instructions for downloading data, re-training the model, and exporting it to ONNX format. Explore testing on live data streams and creating custom datasets for personalized models. Gain hands-on experience in applying trained models to live camera feeds, equipping you with practical skills for real-world AI applications on Jetson devices.