[D] Preparing a deep learning course for computer vision
I am a PhD student in a small computer vision group at our university. I am the only person in the team with experience in deep learning and I initiated a creation of a new course for our students which should cover deep learning approaches to computer vision. The structure of the lectures will probably be very similar to Standford CS231n course. I won’t be able to be the lecturer since this requires a PhD, but it is my responsibility to prepare lab exercises for the students. Since deep learning is computationally expensive I hope to use some cloud service which offers free credits to academia for educational purposes. I was thinking about using Google cloud. However, I feel that this area is developing so fast that it would be valuable to ask for some tips regarding this, especially since creating a new course takes so much time and committing to a wrong platform or choosing a bad approach might lead to many lost hours.
tldr: I am preparing lab exercises for deep learning in computer vision course. Which cloud service (or other approach) should the course use for lab exercises?