10-707 Advanced Deep Learning

12 units, Carnegie Mellon University

Models that are capable of extracting complex, hierarchical representations from high-dimensional data lie at the core of solving many ML and AI domains, such as visual object recognition, information retrieval, natural language processing, and speech perception. While the usefulness of such deep learning techniques is undisputed, our understanding of them is still in many ways nascent. The goal of this course is to introduce students to recent and exciting developments (both theoretical and practical) in these methods. This is an advanced graduate course, designed for Masters and Ph.D. level students, and will assume a substantial degree of mathematical maturity. Prerequisite: ML: 10-701 or 10-715, and strong programming skills.

Prerequisites: 10-315 (min C) or 10-401 (min C) or 10-301 (min C) or 10-701 (min C) or 10-715 (min C) or 10-601 (min C)

Offered: Spring 2027, Spring 2026

Courseweave needs JavaScript to show sections, workloads and planning tools.