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

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

Оценки: 1,516

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:

226–250 из 373 отзывов о курсе Build Basic Generative Adversarial Networks (GANs)

автор: Michael E

23 нояб. 2020 г.

Quite a good explanation of concepts

автор: panagiotis t

4 янв. 2022 г.

Great introductory course to GANs!!

автор: Ryan L

29 янв. 2021 г.

Nice one intro course. Thank u all.

автор: Kenneth N

27 июня 2022 г.

exceptional and clear instructions

автор: Rishabh R

2 апр. 2021 г.

An awesome course to start gans!!

автор: Eyal G

8 дек. 2020 г.

Very nice introduction to Gans :)

автор: Arkadip M

6 дек. 2020 г.

Great course as an intro to GANs

автор: 33221012 Y B

16 мар. 2022 г.

I am very glad with this course

автор: Kevin Z

3 апр. 2022 г.

Great course, clear and useful

автор: Jau-Jie Y

3 авг. 2021 г.

Thanks for excellent teaching

автор: Laurent D

22 мар. 2021 г.

Dense, informative and clear.

автор: Stephan S

29 нояб. 2020 г.

Fantastic Course, a bit short

автор: Kyhoname

14 июня 2022 г.

it's so good. thanks teacher

автор: Elemento

6 янв. 2022 г.

A​ nice Introduction to GANs

автор: makoto n

18 окт. 2020 г.


автор: Sobhan A

6 апр. 2022 г.

Thanks for practical course

автор: Oscar D C

20 сент. 2021 г.

This is an excellent course

автор: Pang C H J

24 сент. 2021 г.

G​ood first course on GANs

автор: Shoumik S C

1 нояб. 2020 г.

Sharon is a great teacher!

автор: Carlos A C G

5 февр. 2022 г.

Incredibly good as always

автор: Jose G P R ( B

21 янв. 2022 г.

I​t is an excelent course

автор: Soheyl M

26 нояб. 2021 г.

Excellent course, thanks!

автор: NATALIA M

24 сент. 2021 г.

This course is excellent!

автор: Cường N N

5 дек. 2020 г.

a Very interesting course

автор: Bahawal B

1 июля 2022 г.

Amazing course, loved it