DeepLearning.AI
Build Better Generative Adversarial Networks (GANs)
DeepLearning.AI

Build Better Generative Adversarial Networks (GANs)

This course is part of Generative Adversarial Networks (GANs) Specialization

Taught in English

Some content may not be translated

Sharon Zhou
Eda Zhou
Eric Zelikman

Instructors: Sharon Zhou

27,798 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.7

(634 reviews)

|

93%

Intermediate level

Recommended experience

28 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 quiz

Course

Gain insight into a topic and learn the fundamentals

4.7

(634 reviews)

|

93%

Intermediate level

Recommended experience

28 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Generative Adversarial Networks (GANs) Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 3 modules in this course

Understand the challenges of evaluating GANs, learn about the advantages and disadvantages of different GAN performance measures, and implement the Fréchet Inception Distance (FID) method using embeddings to assess the accuracy of GANs!

What's included

10 videos8 readings1 programming assignment1 ungraded lab

Learn the disadvantages of GANs when compared to other generative models, discover the pros/cons of these models—plus, learn about the many places where bias in machine learning can come from, why it’s important, and an approach to identify it in GANs!

What's included

6 videos9 readings1 quiz1 programming assignment1 ungraded lab

Learn how StyleGAN improves upon previous models and implement the components and the techniques associated with StyleGAN, currently the most state-of-the-art GAN with powerful capabilities!

What's included

9 videos6 readings1 programming assignment2 ungraded labs

Instructors

Instructor ratings
4.6 (153 ratings)
Sharon Zhou
DeepLearning.AI
5 Courses81,290 learners

Offered by

DeepLearning.AI

Recommended if you're interested in Machine Learning

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4.7

634 reviews

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JK
5

Reviewed on Feb 18, 2021

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5

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5

Reviewed on Sep 30, 2020

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