This course consists of three parts:
1) Introduction to deep learning,
2) Mathematical aspects of machine learning and deep learning, and
3) Reading list presentation.
In 1), we will introduce topics in deep learning. 2) deals with various mathematical aspects of machine learning/deep learning including generalization, function approximation, and model fitting (optimization) algorithms. In 3), we will have students present a list of selected papers on recent developments in deep learning technology.