Adv Deep Learning for Engineer

This course of advanced topics of current interest in the field of deep learning in engineering application with an emphasis on understanding the network architecture of the pre-trained deep learning models. Selected topics from the following areas will be covered, with an emphasis on practical applications: Hardware architecture modeling (CPU, GPU, and FPGA), computer vision, speech recognition, natural language processing, and reinforcement learning, and deep learning tools. Substantial programming assignments. Including interactive programming with industrial automation hardware and software.