ANLY 535 Principles and Applications of Deep Learning

This course considers complex, high-level topics in machine learning. It builds on the foundation provided by Applications of Machine Learning to develop algorithms for supervised and unsupervised machine learning, to study and develop artificial neural networks, to study, develop and evaluate systems for pattern recognition and to consider trade-offs in models, for example, balancing complexity (e.g. volume, variety and velocity of big data) and performance. The focus of this course will be on more advanced techniques such as deep learning and advanced AI.