I’ve just posted the curriculum for part 2 of the course, which will be titled Practical Deep Learning Part 2 - Integrating Recent Advances and Classic Machine Learning. I’m not sure we’ll have time to cover everything listed there, but we’ll get through what we can!
Application info is available at https://www.usfca.edu/data-institute/certificates/deep-learning-part-two . Starts Feb 27, cost is $1500 (all of Rachel and my fees will be donated to http://www.hollows.org and to the diversity scholarship, just as with part 1). Part 1 had ~100 attendees.
For those of you doing the MOOC who didn’t attend part 1, the course includes:
- 2.5 hours each Monday night at USF (near Embacadero)
- Student organized study groups during the week and on weekends
- Recording available day after the lesson
- Slack group just for in-person participants
- Everyone is assigned to a team of six, who work together on assignments
You can apply now if you haven’t finished the MOOC yet, as long as you’re at least past lesson 3, and are confident you’ll finish lesson 7 before Feb 27 (you need to be doing the assignments, not just watching the lessons!) Part 2 will build on everything we learned in part 1, so if there’s areas you’re not comfortable understanding yet, be sure to ask on the forum about your areas of concern.
We’ll be posting info about the diversity scholarships and international fellowships soon.