Dive into the final part of a comprehensive hands-on coding workshop focused on advanced deep learning techniques for satellite imagery. Learn remote debugging with Weights & Biases, save and reload models with custom metrics and loss functions, generate activation and gradient outputs with heatmaps, and deploy a model serving application on Hugging Face. Explore topics such as remote debugging, model persistence, custom image prediction, activation visualization, and creating a prediction app with Gradio UI. Follow along with step-by-step instructions and access the complete source code on GitHub to enhance your skills in processing and analyzing satellite image data using deep learning methods.