10 мар. 2022 г.
Great introductory to GANs, focused on the building blocks to neural net/ GANs, and a bit of frequently used models. Might need a small update on what's considered "state-of-the-art" in the course.
1 окт. 2020 г.
The course provides good insight into the world of GANs. I really enjoyed Sharon's explanations which were deep and easy to understand. I really recommend this course to anyone interested in AI.
автор: Paul J L I•
31 янв. 2021 г.
This was a really great course, and the lectures presented really well. I learned a lot from this course.
автор: G.H L•
11 апр. 2021 г.
It was really helpful for building my deep generative modeling skills with details and mindful examples.
автор: Rohak S•
21 февр. 2021 г.
Amazing to see how the curriculum designers have distilled cutting edge resource into an online course
автор: SUMIT Y•
15 нояб. 2020 г.
NIce course for those who want to start his/her journey towards GAN, and want to learn MAth behind it.
3 мар. 2022 г.
A great introduction! I can easily get the general concepts about basic GANs with affordable homework
автор: Tze C L•
19 мая 2021 г.
An easy and friendly introduction to building your very own Generative Adversarial Networks (GANs).
автор: Sinan D•
23 дек. 2020 г.
Good course but better if you get Deep Learning and CNN courses beforehand to make this more sense.
автор: Stephen S•
3 апр. 2022 г.
Great course, I enjoyed the programming assignments and the topics, look forward to the next ones.
автор: Hitesh k B•
22 окт. 2021 г.
No prior background required, easy to understand notebooks, optional material for advance study :)
автор: Akhtar M•
14 нояб. 2020 г.
It is awesome in many ways. The organization of this course makes you understand in a better way!
автор: Ljubiša P•
27 дек. 2020 г.
Excellent. I found some of the cited papers hard to follow, but I am assuming that is expected.
автор: long s•
3 нояб. 2020 г.
Very clear instructions and easy to understand metaphors (and memes!) made this course a treat!
автор: Jorge P•
26 окт. 2020 г.
Muy buen curso, el contenido es de alta calidad que permite entender los conceptos en detalle.
автор: Matt S H•
2 нояб. 2020 г.
Very clean explanations and programming exercises and love the knowledge checks in the videos.
автор: alon s•
9 окт. 2020 г.
thank you! it was great course, learned a lot. made me realize how much potential GAN's have.
автор: Jingjian W•
8 нояб. 2020 г.
didn't expect to learn wgan and how it solve the unstable problem of gan. That is impressive
автор: Jean-Marie P•
25 окт. 2020 г.
Really interesting course. What was great was progressive increasing in difficult concepts.
автор: Timo J•
4 февр. 2021 г.
may be irrelevant, but absolutely love Sharons manners. Very vivid and pleasant to listen.
автор: Vitalii L•
20 нояб. 2020 г.
Great work! And thank you for the assistance and communication (slack).I liked the course!
автор: Dhritiman S•
31 окт. 2020 г.
Good course! I enjoyed the use of PyTorch and the bottom up foundational knowledge of GANs
автор: David T•
8 окт. 2020 г.
Great Introduction to the material. Assignments connected well with the lecture material.
автор: Olivier M•
18 окт. 2020 г.
As usual with deeplearning.ai, amazing course. Very useful for discover the world of GAN
автор: Jing L•
26 мая 2021 г.
As an introduction course for GANs it is pretty good, the assignment is a bit too easy.
автор: Xiaoyu X•
22 мая 2021 г.
Great course for GANs. The assignments are really helpful. The lectures are very clear.
автор: Samrat S•
7 июля 2021 г.
Very basic overview of Gan, which ignores lots of Math depth.. But good for beginners.