Explore the fundamentals of Caffe, a powerful Deep Learning framework, in this comprehensive video course. Learn about Caffe's program structure, core functionality, and integrated GPU acceleration. Discover how to manage data, define and train Deep Neural Networks (DNNs), select training parameters, monitor progress, and deploy models for classification or feature extraction. Gain practical experience through hands-on examples and explore advanced topics such as localization, pixel-level classification, sequence learning, and transfer learning. Understand GPU acceleration, QDNN, and deployment on platforms like Jetson TK1. Dive into popular frameworks, multi-GPU setups, embedded deployment, continuous learning, and custom layer definitions. Master essential concepts like batch size, iterations, and database formatting while exploring Caffe's potential for end-to-end deep learning, multivariate regression, and sensor fusion applications.