MGMT 69600 - Theoretical Principles For Deep Learning

Credit Hours: 2.00 or 3.00. This course aims to expose you to one of the most active contemporary research directions within machine learning: theoretical principles for deep learning. Despite its undisputedly useful empirical breakthroughs, their understanding is still in many ways nascent. This course provides the latest theoretical aspects of deep learning and representation learning, accompanied by a mixture of reading group sessions and student projects. This is an advanced graduate course designed for master’s and Ph.D.-level students and assumes a substantial degree of quantitative research background.

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MGMT 69600 - Theoretical Principles For Deep Learning