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

Build Basic 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

63,309 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.7

(1,868 reviews)

|

96%

Intermediate level

Recommended experience

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

Details to know

Shareable certificate

Add to your LinkedIn profile

Course

Gain insight into a topic and learn the fundamentals

4.7

(1,868 reviews)

|

96%

Intermediate level

Recommended experience

29 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 4 modules in this course

See some real-world applications of GANs, learn about their fundamental components, and build your very own GAN using PyTorch!

What's included

10 videos6 readings1 programming assignment1 app item1 ungraded lab

Learn about different activation functions, batch normalization, and transposed convolutions to tune your GAN architecture and apply them to build an advanced DCGAN specifically for processing images!

What's included

9 videos5 readings1 programming assignment

Learn advanced techniques to reduce instances of GAN failure due to imbalances between the generator and discriminator! Implement a WGAN to mitigate unstable training and mode collapse using W-Loss and Lipschitz Continuity enforcement.

What's included

7 videos5 readings1 programming assignment1 ungraded lab

Understand how to effectively control your GAN, modify the features in a generated image, and build conditional GANs capable of generating examples from determined categories!

What's included

9 videos6 readings2 programming assignments1 ungraded lab

Instructors

Instructor ratings
4.8 (621 ratings)
Sharon Zhou
DeepLearning.AI
5 Courses79,702 learners

Offered by

DeepLearning.AI

Recommended if you're interested in Machine Learning

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4.7

1,868 reviews

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SS
4

Reviewed on Nov 27, 2021

KM
5

Reviewed on Jul 20, 2023

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4

Reviewed on Oct 15, 2020

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