Chevron Left
Back to Build Basic Generative Adversarial Networks (GANs)

Learner Reviews & Feedback for Build Basic Generative Adversarial Networks (GANs) by DeepLearning.AI

4.7
stars
1,634 ratings

About the Course

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....

Top reviews

HL

Mar 10, 2022

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.

WM

Oct 1, 2020

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.

Filter by:

26 - 50 of 386 Reviews for Build Basic Generative Adversarial Networks (GANs)

By Si T P

Oct 6, 2020

By Sayak P

Oct 3, 2020

By Yongzhong X

Oct 6, 2020

By 陈啸

Oct 4, 2020

By Sriharsha V

Oct 5, 2020

By guillaume s

Oct 5, 2020

By Buoy R

Oct 5, 2020

By Yunfeng C

Oct 5, 2020

By Đạt Đ T

Oct 6, 2020

By Phillip L

Nov 1, 2020

By Daniel Y

Feb 22, 2021

By jayce_hu

Mar 11, 2021

By Bhargav D P

Nov 9, 2020

By Zaneta S -

Nov 17, 2020

By Jordan B

Nov 13, 2020

By Huynh N H

Nov 23, 2020

By Aladdin P

Nov 21, 2020

By Vivek V

Oct 25, 2020

By B S C

Jan 3, 2021

By Anri L

Dec 24, 2021

By Eduard M

Jan 18, 2021

By Archil K

Mar 24, 2021

By Chen G

May 6, 2021

By Artod

Mar 5, 2021

By Iván H G

Mar 9, 2022