Chevron Left
Вернуться к Build Basic Generative Adversarial Networks (GANs)

Отзывы учащихся о курсе Build Basic Generative Adversarial Networks (GANs) от партнера

Оценки: 1,519

О курсе

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....

Лучшие рецензии


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.

Фильтр по:

251–275 из 373 отзывов о курсе Build Basic Generative Adversarial Networks (GANs)

автор: shangzuming

29 июля 2021 г.

Wow ,it si so wonderful

автор: ahmed h

30 дек. 2020 г.

very interesting course

автор: amadou d

7 мар. 2021 г.

Excellent. Thank YOU!!

автор: Natasha D

30 окт. 2020 г.

Great course on GANs!

автор: Alexander V

7 окт. 2021 г.

Interesting and fun!

автор: Hieu

21 июля 2021 г.

pretty awesome work!

автор: Duy Đ

29 дек. 2020 г.

Very helpfull for me

автор: Michał M

17 июля 2022 г.

Very interesting!!!

автор: Ji Y R

22 янв. 2021 г.

Really instructive!

автор: Kshitiz R

24 окт. 2020 г.

Excellent Course!!!

автор: David M

9 июня 2021 г.

e​xcellent course!

автор: Lin S

15 янв. 2022 г.

Thanks very much!

автор: Luis M C S

9 нояб. 2020 г.

hard but worth it

автор: Josué G

29 мар. 2021 г.

Excelente curso.

автор: Robin S

20 дек. 2020 г.

Truly brilliant

автор: Shan-Jyun W

11 мар. 2022 г.

Great content!

автор: Md A R

23 февр. 2021 г.

Amazing Course

автор: 胡冰

15 мая 2021 г.

Great course.

автор: Wildson B B L

2 янв. 2021 г.

Great course!

автор: Victor d l C

11 окт. 2020 г.


автор: Hamidreza Z

3 июня 2022 г.

great topics

автор: S A

1 июня 2021 г.

It was good!

автор: Irving G B P

17 апр. 2021 г.

Amazing work

автор: Lâm Đ A

5 янв. 2021 г.

Good course

автор: Jose L L d J S

21 окт. 2021 г.