ECE 176Introduction to Deep Learning and Applications
This course covers the fundamentals in deep learning, basics in deep neural network including different network architectures (e.g., ConvNet, RNN), and the optimization algorithms for training these networks. We will have hands-on implementation courses in PyTorch. This course will also introduce the deep learning applications in computer vision, robotics, and sequence modeling in natural language processing.