Very good course! Helpful to understand evaluation metrics and details of Style GAN. It was also super cool to have the bias section that is not as well known as the others. Loved it!
Great material...but the stylegan code implementation requires more video material. Instead adding one more week for ProGan part before stylegan would be helpful for the learners.
創建者 amadou d•
Excellent and Fantastik. Thank You!
創建者 Kenneth N•
exceptional and clear instructions
創建者 Gabriel O•
Very nice course!
創建者 DO D T•
MANY THANKS TO YOU
創建者 Ms. N A A•
Great clear course
創建者 Vishnu N S•
Great Course !!!
創建者 Tim C•
Great stuff ! :)
創建者 Stefan O B•
創建者 Jason C•
創建者 Vignesh M•
創建者 SUMIT Y•
創建者 Toni P•
創建者 Mark L•
I enjoyed the course and believe I learned a *little* of the material presented. One thing that I'd find helpful in the programming notebooks for the exercises is to add a little more descriptive material, either in text or code comments. I was lucky that I was able to complete the exercises, but often they required adding "print" statements to understand what was going on. I generally found the optional labs to be less valuable since they either couldn't be meaningfully executed, or presented contrived random results that were not very meaningful (see comments in https://deeplearningaigans.slack.com/team/U01BR86L13M for example).
創建者 ARTEM B•
In my opinion, all those `optional` papers just add unnecessary buzz to the studying process. If you think some particular paper is something really important, then better to do a video about this with explanation. Information should be presented in a structured way for better contribution to students intuition about the matter. Honestly, after the second course I feel a bit dizzy.
創建者 Stijn M•
Again I love the content, the information and everything in it. I dislike the "difficulty" of the exercises. Yes, the content in it is great but passing them does not necessarily mean you understood what you're doing.
創建者 Ulugbek D•
I think this course has more advanced "tricks" and models that are supported with fewer assignments, which could be one shortcoming of the course.
創建者 Rishab K•
StyleGAN part is awesome although fairness in AI also took a lot of time which i didn;'t expected
創建者 Bharath P•
Excellent course. Week 2 could have been better by talking more about Machine learning bias
創建者 Ben K•
Interesting subject, nice presentation, assignments are not intuitive
創建者 Ernest W•
Valuable but also far from perfect. In week 3 focused on StyleGAN, programming assignments show its structure but nothing further. I feel disappointed a bit as we didn't use StyleGAN to generate anything. I hope next course in specialization will further explore image creation and meet my expectations or it may be too difficult to code on my own and read all the included papers (as homework).
IN week three, most of the component of stylegan have a clear explanation, that is good. But it lacks the overall code architecture, how to link the generator with the discriminator in trainning process? how to stable the progress trainning in styleganit's important to get intuition about how stylegan work.
創建者 Iván G•
There are concepts which should be explained with more details, such as the content of StyleGAN (Week 3). The instructions of the 2nd week - notebook are not clear. Nevertheless, the course provides a good first approach to the state of the art of GANs.
創建者 Moustafa S•
the assignments where not that helpful, even tho the comments where a course on it's own, but when solving the assignment it may take you 4 hours just to learn the way the function works, which is the biggest issue in pytorch and scipy
創建者 Kyle S•
You have to really love GANs, or have a real immediate need for them, to enjoy this course. All the earlier DEEPLEARNING.AI courses were pure joy, and not as much of a grind.
創建者 Алексей А•
Week 2 is pretty raw - much reading and few explanation within lectures. After that programming tasks look like game "guess what to do to pass".
Lecturer speaks too fast.