About this Course

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Start instantly and learn at your own schedule.
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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. 31 hours to complete
English

Skills you will gain

Controllable GenerationWGANsConditional GenerationComponents of GANsDCGANs
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
  • Basic calculus, linear algebra, stats
  • Grasp of AI, deep learning & CNNs
  • Intermediate Python & experience with DL frameworks (TF / Keras / PyTorch)
Approx. 31 hours to complete
English

Offered by

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DeepLearning.AI

Syllabus - What you will learn from this course

Content RatingThumbs Up96%(3,079 ratings)Info
Week
1

Week 1

7 hours to complete

Week 1: Intro to GANs

7 hours to complete
10 videos (Total 57 min), 7 readings, 1 quiz
Week
2

Week 2

6 hours to complete

Week 2: Deep Convolutional GANs

6 hours to complete
9 videos (Total 38 min), 4 readings, 1 quiz
Week
3

Week 3

9 hours to complete

Week 3: Wasserstein GANs with Gradient Penalty

9 hours to complete
7 videos (Total 26 min), 4 readings, 1 quiz
Week
4

Week 4

10 hours to complete

Week 4: Conditional GAN & Controllable Generation

10 hours to complete
9 videos (Total 27 min), 4 readings, 2 quizzes

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About the Generative Adversarial Networks (GANs) Specialization

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Frequently Asked Questions

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