Special Topics in Electromagnetics

In the course, basics of machine leaning algorithms will be introduced including Deep Neural Network, Convolution Neural Network, Recurrent Neural Network and Reinforcement Learning. Especially, basic principles and the key applications of reinforcement learning (RL) will be introduced and discussed. In addition, AI accelerator computing schemes such as GPU, HBM, and AI chips will be discussed as well. Finally, these RL methods will be applied to estimate, design, and optimization of the electromagnetic systems, including antenna, circuits, devices and semiconductors.