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!
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 José A C C•
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•
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•
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!
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•
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•
Great course, it provides an excellent explanation on concepts and provides useful practical exercises on main applications of GANs.
par Andrey R•
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•
A brilliant third course in the specialization. Really enjoyed doing this, and learned quite a lot. Thank you DeepLearning.AI
par Moustafa S•
great course and great material really, keep the great work and hopefully seeing more of your courses again Zho <3
par Jaekoo K•
I really enjoyed this course. It was easy to follow and clear in terms of content organizations. Thank you!
par Paul J L I•
This was a really great course, and the lectures presented really well. I learned a lot from this course.
par Akshai S•
The applications of GANs were very well illustrated in the course. I thank the coursera team for this :-)
par Stefan S•
Very good and interesting course where you learn how state of the art GAN's is constructed.
par Anri L•
Sharon Zhou, her sister and the rest of the Deeplearning.Ai team is a gift to the world!
par Arkady A•
Awesome course, with well explained material that makes state of the art new models easy!
par Dhritiman S•
The course did a great job of conveying complex material very succinctly and clearly.
par Serge T•
Great course and a fantastic Specialisation! Would recommend to everyone interested!
par Antoreep J•
Course 3 was better than Course 2. Course 2's assignments were bit confusing.
par Matthew B E R•
A wonderful course, which serves as a great conclusion to the specialization.
par Asaad M A A•
I really enjoyed taking this course. I want to thank all the instructors.
par Charlie J•
Incredible course. Thorough yet understandable for anyone interested
par Paritosh B•
Great content. Thanks a lot for creating this wonderful course. :)
par Rohan r•
Very detailed study. A must learn for people working with GANs
par Shivender K•
Very complex specialization but significantly helpful
par Samuel K•
Awesome course! Direct application to my research!