Handbook

Deep learning (DL) is one of the most highly sought after skills in AI. It is one of the most important breakthroughs in technology and has become a driving force for AI research and applications. This course will focus on advanced learning and cognitive systems which uses modern knowledge in deep learning, machine learning, computer vision and language technology to build AI applications. It covers the foundation as well as advanced knowledge in deep learning and related disciplines. Deep neural networks, Convolutional networks, RNNs, LSTM, GRU and optimisation techniques such as Adam, Dropout, BatchNorm will be covered. It then focuses on modern techniques including deep reinforcement learning, deep generative models and how they might be applied in computer vision and language technology tasks. Learning activities include designing deep neural networks and CNN-based systems for image/video classification, representation learning on different types of structured, unstructured and semi-structured data, deep generative models, cognitive vision/language systems and deep reinforcement learning.