Handbook

This course exposes engineering, computer science, and cyber security students to the different aspects of Deep Learning including Optimisation Formulation and Algorithms for Training and Regularisation, Deep Feedforward Networks, Convolution Networks, Recurrent and Recursive Networks, Deep Reinforcement Learning, AutoEncoders, Deep Generative Models, and applications in image and video processing, timeseries analysis, communication networks, robotics and control, and  human performance. The course is designed specifically to prepare 4th Yr students to do a thesis in Artificial Intelligence by giving them in-depth technical foundations in the machine learning sub-field of Deep Learning.