About this Course

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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
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Intermediate Level
  • Basic calculus, linear algebra, stats

  • Grasp of AI, deep learning & CNNs

  • Intermediate Python & experience with DL frameworks (TF / Keras / PyTorch)

Approx. 33 hours to complete
English

Skills you will gain

  • Controllable Generation
  • WGANs
  • Conditional Generation
  • Components of GANs
  • DCGANs
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level
  • Basic calculus, linear algebra, stats

  • Grasp of AI, deep learning & CNNs

  • Intermediate Python & experience with DL frameworks (TF / Keras / PyTorch)

Approx. 33 hours to complete
English

Offered by

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DeepLearning.AI

Syllabus - What you will learn from this course

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Week1
Week 1
7 hours to complete

Week 1: Intro to GANs

7 hours to complete
10 videos (Total 57 min), 4 readings, 4 quizzes
Week2
Week 2
7 hours to complete

Week 2: Deep Convolutional GANs

7 hours to complete
9 videos (Total 38 min), 4 readings, 2 quizzes
Week3
Week 3
10 hours to complete

Week 3: Wasserstein GANs with Gradient Penalty

10 hours to complete
7 videos (Total 26 min), 4 readings, 2 quizzes
Week4
Week 4
11 hours to complete

Week 4: Conditional GAN & Controllable Generation

11 hours to complete
9 videos (Total 27 min), 4 readings, 3 quizzes

Reviews

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About the Generative Adversarial Networks (GANs) Specialization

Generative Adversarial Networks (GANs)

Frequently Asked Questions

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