It would be better if the assignments provided much less of the code, so that people could struggle more.

Critic lessons need to be explained more in details. but overall great course with great instructor.

Great, missing more details on how to tune but explanations are very clear and labs are top quality

Very exciting course content! Only if could give a primer on PyTorch - that would be awesome

The content is good for beginners who have little background, but the practice is too easy

A very easy to understand guide for those who are interested in how GAN generally works!

The course was so useful. Excited to complete the next one and learn more about GANs.

Good intro to the concept felt that some of the excercises were too explicit

Exceptional theoretical part, but mandatory assignments are way too simple

More help (and annotations) on the code beyond start/end blocks would help

Nice course, however with a clear focus on computer vision applications.

Loving it so far. Kudos to Eda Zhou. She is an excellent instructor.

It was very sufficient way to learn Basics of GANs for me.

It would have been nice to have the course in tensorflow.

hope the tasks could be more challenging with more hints.

Great course, I learned a lot. Teacher goes a bit fast.

Pretty good, but I wish it could contain more detail.

Great introduction to GAN's and a dive into PyTorch

course needs more math, but overall it is amazing.

great but programming assignments felt too simple

Exercises could have been a bit more challenging.

Course concepts gets complicates as you progress.

Good course. But still, I left with some doubts

The instructor could have better pronunciation

Best Basic Course on Generative Models.