DeepLearning.AI
Apply Generative Adversarial Networks (GANs)
DeepLearning.AI

Apply Generative Adversarial Networks (GANs)

Sharon Zhou
Eda Zhou
Eric Zelikman

Instructors: Sharon Zhou

25,298 already enrolled

Gain insight into a topic and learn the fundamentals.
4.8

(519 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 25 hours
Learn at your own pace
94%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.8

(519 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 25 hours
Learn at your own pace
94%
Most learners liked this course

Details to know

Shareable certificate

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Assessments

1 assignment

Taught in English

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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.
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There are 3 modules in this course

Learn different applications of GANs, understand the pros/cons of using them for data augmentation, and see how they can improve downstream AI models!

What's included

7 videos9 readings1 assignment1 programming assignment

Understand image-to-image translation, learn about different applications of this framework, and implement a U-Net generator and Pix2Pix, a paired image-to-image translation GAN!

What's included

8 videos6 readings2 programming assignments

Understand how unpaired image-to-image translation differs from paired translation, learn how CycleGAN implements this model using two GANs, and implement a CycleGAN to transform between horses and zebras!

What's included

9 videos8 readings1 programming assignment

Instructors

Instructor ratings
4.8 (150 ratings)
Sharon Zhou
DeepLearning.AI
6 Courses100,474 learners

Offered by

DeepLearning.AI

Recommended if you're interested in Machine Learning

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4.8

519 reviews

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VY
5

Reviewed on May 16, 2023

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5

Reviewed on Jan 16, 2021

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5

Reviewed on Apr 10, 2021

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