Covers the fundamentals of multilayer neural networks and deep learning, including back-propagation and network architectures like LeNet, AlexNet, and VGG-16.
Explores the design and applications of reconfigurable metasurfaces in advanced optics, including switchable magnetic metamaterials and responsive metasurfaces.
Explores model-based deep reinforcement learning, focusing on Monte Carlo Tree Search and its applications in game strategies and decision-making processes.
Explores glass microfabrication techniques, including precision machining and ultrasonic machining, focusing on mechanical properties and fracture behavior.
