Georgia Tech’s Deep Learning Course

As my 9th class as a graduate student at the Technology Institue of Georgia, I decided to take OMSCS CS7643 on Deep Learning. During this summer semester, I interviewed for and started a new role as a data engineering manager. If you’re also expecting to be working full-time during the week or going through a transition, this review may help you.

If you’re looking for a review of Machine Learning (CS7641) and Reinforcement Learning (CS7642), I wrote about these courses in a previous blog post.

Course Information

The goal of the course was to give students a better understanding of Deep learning, a sub-field of machine learning. In that sense, this course is wonderful. The lectures by the instructor were very well organized, taking students through the introduction and fundamental concepts discussing the underlying math and implementation details of deep learning. As a result, I came out of this course knowing more about deep learning than most ML graduates (before 2018) and practitioners in the space. The assignments in this course also get you more used to discussing and sharing the milestone findings that are deep learning viable in our world and work today.

The course consisted of assignments that I’ll discuss in greater detail.

Quiz (5) 20% — Submitted as a quiz via Canvas.

Assignments (3 for the summer, 4 for the regular semester): 55% — Based on Lecture Material programming assignments.