Learn to build a ship classification model using the Xception deep learning architecture in this comprehensive 26-minute tutorial. Walk through the complete process of creating an image classifier that can categorize ships into different types including Cargo, Military, Carrier, Cruise, and Tankers. Master essential techniques including data loading and preprocessing, one-hot encoding for labels, image augmentation strategies, and custom model training. Discover how to properly install required dependencies, structure your coding workflow, build and train the Xception model, and perform inference testing on new images. Gain practical experience with modern computer vision techniques while following a step-by-step approach that covers installation, data preparation, model construction, training procedures, evaluation methods, and deployment considerations for real-world image classification applications.