About this Course

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Flexible deadlines
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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. 28 hours to complete
English

Skills you will gain

Bias in GANsStyleGANsPros and Cons of GANsGANs AlternativesGAN Evaluation
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. 28 hours to complete
English

Offered by

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DeepLearning.AI

Syllabus - What you will learn from this course

Week
1

Week 1

9 hours to complete

Week 1: Evaluation of GANs

9 hours to complete
10 videos (Total 66 min), 7 readings, 1 quiz
10 videos
Welcome to Week 11m
Evaluation6m
Comparing Images3m
Feature Extraction6m
Inception-v3 and Embeddings6m
Fréchet Inception Distance (FID)14m
Inception Score10m
Sampling and Truncation6m
Precision and Recall5m
7 readings
Syllabus5m
Connect with your mentors and fellow learners on Slack!5m
(Optional) A Closer Look at Inception Score1h
(Optional) HYPE!!1h 10m
(Optional) More on Precision and Recall1h 20m
(Optional) Recap of FID and IS15m
Works Cited5m
Week
2

Week 2

10 hours to complete

Week 2: GAN Disadvantages and Bias

10 hours to complete
6 videos (Total 28 min), 6 readings, 2 quizzes
6 videos
Disadvantages of GANs4m
Alternatives to GANs6m
Intro to Machine Bias6m
Defining Fairness 2m
Ways Bias is Introduced6m
6 readings
(Optional Notebook) Score-based Generative Modeling2h
Machine Bias40m
Fairness Definitions40m
A Survey on Bias and Fairness in Machine Learning2h
Finding Bias1h 10m
Works Cited20m
1 practice exercise
Analyzing Bias30m
Week
3

Week 3

9 hours to complete

Week 3: StyleGAN and Advancements

9 hours to complete
9 videos (Total 48 min), 5 readings, 1 quiz
9 videos
GAN Improvements7m
StyleGAN Overview8m
Progressive Growing5m
Noise Mapping Network6m
Adaptive Instance Normalization (AdaIN)8m
Style and Stochastic Variation8m
Putting It All Together2m
Conclusion of Course 21m
5 readings
(Optional) The StyleGAN Paper1h 20m
(Optional) StyleGAN Walkthrough and Beyond30m
(Optional Notebook) Finetuning Notebook: FreezeD1h
Works Cited10m
Acknowledgments5m

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About the Generative Adversarial Networks (GANs) Specialization

Generative Adversarial Networks (GANs)

Frequently Asked Questions

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