Chevron Left
Build Basic Generative Adversarial Networks (GANs) に戻る による Build Basic Generative Adversarial Networks (GANs) の受講者のレビューおよびフィードバック



In this course, you will: - Learn about GANs and their applications - Understand the intuition behind the fundamental components of GANs - Explore and implement multiple GAN architectures - Build conditional GANs capable of generating examples from determined categories The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more. Build a comprehensive knowledge base and gain hands-on experience in GANs. Train your own model using PyTorch, use it to create images, and evaluate a variety of advanced GANs. This Specialization provides an accessible pathway for all levels of learners looking to break into the GANs space or apply GANs to their own projects, even without prior familiarity with advanced math and machine learning research....



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.


great course, only teaching what's needed, doesn't push you a lot in the coding assignments, as much as it requires you much more work to understand the codes and the science behind it.


Build Basic Generative Adversarial Networks (GANs): 101 - 125 / 344 レビュー

by Samuel K


Fantastic course! I have a few projects that have been in the pipeline at work using GAN's and this got me up to speed quick!

by Li M


like it so much, this course is challengeable and I am looking forward to diving down to the GANs model area even more.

by Léo Z


Exceptional course, great teaching, well organised and manageable difficulty. Graded notebooks could be more demanding.

by Ahmed M


Great explanation and very instructive assignments. Optional challenge tasks are also available for advanced learners.

by Nemanja M


Really nice, I enjoyed it! You're doing an amazing job in education, please continue you beautiful work! Much love! <3

by Preetam P


It was so nice to join and study this course. I have get so much knowledge about GAN. It was just awesome. Thank you.

by Udith D B H


One of the best courses. Instructors are very helpful and the slack forum is very active. I learned a lot about GANs.

by Rorisang S


I​ enjoyed every lab. The simplicity with which the complex principles were expressed in code and notes is beautiful.

by Evgeniia C


I enjoyed this course a lot. It gave me a good understanding of gans in a quite short period of time. Very well made!

by Yegane A


Sharon is fantastic! She teaches every demanding subject in a very understandable way. I really enjoyed this course!

by Ivelin I


Fantastic Intro. The theoretical part is accessible and the hands on coding part Is applicable to modern app dev.

by Sofia T


Really good material, explanations were clear, assignments are super cool and helpful to expand your knowledge.

by Shams A


Amazing course! Wonderful learning experience and very helpful directions. Depth of the content was just right.

by Mohamed A G


Sharon did a great job explaining hard concepts. It's a great course for anyone who wants to learn about GANS!

by Bruno A d S


I always found this subject confusing, today everything is easier and clearer. Great place to start studies.

by Vaseekaran V


R​eally great introduction to GANs and this course serves as an amazing refresher for Deep Learning basics.

by Lorenzo S


Such a great course to learn Gan design basic mechanisms: a good mix of high-level concepts, math and code!

by Paolo M


Very helpful and suggestive! Graded assignements ask you to have a deep understanging of what is going on.

by Paul J L I


This was a really great course, and the lectures presented really well. I learned a lot from this course.

by G.H L


It was really helpful for building my deep generative modeling skills with details and mindful examples.

by Rohak S


Amazing to see how the curriculum designers have distilled cutting edge resource into an online course



NIce course for those who want to start his/her journey towards GAN, and want to learn MAth behind it.

by Tze C L


An easy and friendly introduction to building your very own Generative Adversarial Networks (GANs).

by Sinan D


Good course but better if you get Deep Learning and CNN courses beforehand to make this more sense.

by Hitesh k B


No prior background required, easy to understand notebooks, optional material for advance study :)