Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. You’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. Next, you'll learn to model a quadcopter example project in depth. Along the way, you’ll cover dynamics and control, and integrate deep-learning algorithms and approaches using MATLAB. You'll apply deep learning for quadcopter control, sensing, and navigation via simulations.  Finally, you'll experience how to fly a hardware quadcopter and then use it for deep-learning experiments to motivate future projects and innovations.   Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB. weiterlesen