COMP841 Deep Learning (Teaching Assistant)

This course teaches deep learning techniques from the algorithmic perspective. It provides students with hands on applications of deep learning. Students will be introduced to methods (including but not limited to): Basics of Learning, Deep Neural Network, Convolutional Neural Network, Recurrent Neural Network, Long Short-Term Memory, Autoencoder, Graph Convolutional Network, Reinforcement Learning and Generative Adversarial Net, etc. It demonstrates the deep learning techniques in various applications such as bioinformatics, housing price prediction, image processing, and music generation applications, etc.