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