Good overall introduction to GANs. I really liked how well the sections on Wasserstein Loss and Conditional & Controllable GAN sections were covered in this course.

This course was awesome. Concise, simple and straightforward. The course teaches something very sophisticated but the instructor made it very easy to understand.

Awesome course. Like any other from DeepLearnin.AI, the content is given in a intuitive way, so that you can learn easily. Congratulations for the creators!

Great course! The programming assignments were a bit short and too easy. The Deep Learning Specialization assignments had the ideal difficulty and length.

Amazing course, one of the best I've ever enrolled in. The speaker, presentation, labs and provided resources are all very very good and well documented!

Excellent Course to get started with GAN's. Can't wait to explore other parts of this specialization. Thank you Deeplearning.AI for this amazing content.

Had a wonderful experience with this course, The instructer is teaching in an energetic way that you feel you are diving in the depth of GAN very easily

I really like the way he teaches all the concept from scratch. i learn a lot

any one want to learn foundation for GAN i really recommend them this course

Sharon rocks! Very clear explanation of quite complicated material makes it relatively easy to understand GANs. Looking forward to starting course 2!

I really enjoyed taking this course on GANs. It walked me through the concepts in a reasonable speed and provided detailed explanations and insights.

It is a very nicely orgranized course that will provide a great understanding how GAN works and it's intuition with some hands on coding practices.

Excellent

Well organized, clarifies terms and concepts, high implementation

quality of assignments, impressively up-to-date on new works (Apr 2021)

This is such a great course. Explanation and guidance throughout the course was excellent. A huge thanks to our lecturer Sharon, Eric, and Eda.

Amazing course, got to learn a lot. The assignments felt a lil difficult for someone not so well versed in python but was an informative one!

This course rightly covers the introduction of both Pytorch and GANs so that the natural interest for further courses keeps increasing.

I loved it! The guided notebooks are great to make sure I am not doing any mistake and also providing unit tests in important cells.

A really good course to learn about GANs, reading the quoted research papers will help develop a better intuition and understanding.

Good job at explaining theories quickly. The assignments helped to learn pytorch and also to verify the understanding of principles.

One of the Amazing course on the Coursera Platform. Due to these courses I had choose my Final Year Project on GAN. Happy learning.

Thank you Sharon Zhou and other Instructors for this interesting course on Generative Adversarial Networks (GANs)

ThankYou Coursera.

Good course overall. I don't feel ready to implement GANs after the assignments though because so much of the code was pre-written.

So awesomely taught. Assignments were motivatingly easy and optional advanced material provided for those who want to delve deeper

Nice Course. Lot of depth concepts were really simplified. Better to get good understanding of pytorch to follow Assignemnets well

The course has meticulously designed for easier understanding. One has to complete the assignments to get hands on experience.

Awesome course with clear and straightforward instruction - I felt motivated to complete this 4 week course in just two weeks.