UD
5 déc. 2020
I really liked the exposure to preparing various loss functions in paired and non-paired GANs, introduction to other applications, and many great changes to improve the quality of the networks!
MM
23 janv. 2021
GANs are awesome, solving many real-world problems. Especially unsupervised things are cool. Instructors are great and to the point regarding theoretical and practical aspects. Thankyou!
par Pavel K
•3 févr. 2021
I really enjoyed the content of the 3rd course in this specialisation. The only wish I have for the future courses is for them to be in HD, it's 2021, come on, apply some SuperRes GANs already ;)
par Mikhail P
•20 nov. 2020
Great course and the specialization! It gives a clear explanation of quite difficult concepts, after which it becomes much easier to look for more details in original papers.
par José A C C
•17 janv. 2021
It is a great course that you need to take time to understand fully, particularly the optional materials and readings are super valuable to extend understanding.
par Rushirajsinh P
•16 avr. 2021
Perfect course for GANs!! I've never seen such a perfect curriculum before! A blend of state-of-the-art approaches and their practical implementation!
par Lambertus d G
•18 févr. 2021
Great to put the GANs to practice and see what you can achieve. This was the icing on the cake for me. Thanks Sharon for your clear explanations!
par 大内竜馬
•10 mars 2021
The content is very nice. But, as a non-native English speaker, I would have been happier if you would speak more slowly, like prof. Andrew Ng.
par Yiqiao Y
•5 janv. 2021
It's a great specialization and I deeply enjoyed it! I want to thank Sharon and her team of developing this material! I highly recommend it!
par Angelos K
•31 oct. 2020
Great course, it provides an excellent explanation on concepts and provides useful practical exercises on main applications of GANs.
par Andrey R
•7 déc. 2020
It was fun to learn, especially cycle gan part. I only hope the authors will keep creating new courses. Looking forward to them.
par Vaseekaran V
•24 déc. 2021
A brilliant third course in the specialization. Really enjoyed doing this, and learned quite a lot. Thank you DeepLearning.AI
par 江昭輝
•24 janv. 2022
The courses in this tutorial is awesome, very recommend for those who interested in GAN, so glad I enroll this course!!!
par Moustafa S
•31 oct. 2020
great course and great material really, keep the great work and hopefully seeing more of your courses again Zho <3
par Jaekoo K
•11 avr. 2021
I really enjoyed this course. It was easy to follow and clear in terms of content organizations. Thank you!
par Paul J L I
•31 janv. 2021
This was a really great course, and the lectures presented really well. I learned a lot from this course.
par Akshai S
•17 janv. 2021
The applications of GANs were very well illustrated in the course. I thank the coursera team for this :-)
par Stefan S
•30 oct. 2020
Very good and interesting course where you learn how state of the art GAN's is constructed.
par Anri L
•24 déc. 2021
Sharon Zhou, her sister and the rest of the Deeplearning.Ai team is a gift to the world!
par Arkady A
•8 févr. 2021
Awesome course, with well explained material that makes state of the art new models easy!
par Dhritiman S
•8 déc. 2020
The course did a great job of conveying complex material very succinctly and clearly.
par Serge T
•18 nov. 2020
Great course and a fantastic Specialisation! Would recommend to everyone interested!
par Antoreep J
•24 avr. 2021
Course 3 was better than Course 2. Course 2's assignments were bit confusing.
par Matthew B E R
•28 nov. 2020
A wonderful course, which serves as a great conclusion to the specialization.
par Asaad M A A
•13 sept. 2021
I really enjoyed taking this course. I want to thank all the instructors.
par Charlie J
•26 nov. 2021
Incredible course. Thorough yet understandable for anyone interested
par Paritosh B
•5 déc. 2020
Great content. Thanks a lot for creating this wonderful course. :)