About this Course

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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. 26 hours to complete
English

Skills you will gain

Pix2PixImage-to-Image TranslationCycleGANsConvolutional Neural NetworkPrivacy Preservation
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. 26 hours to complete
English

Offered by

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DeepLearning.AI

Syllabus - What you will learn from this course

Week
1

Week 1

8 hours to complete

Week 1: GANs for Data Augmentation and Privacy

8 hours to complete
7 videos (Total 25 min), 8 readings, 2 quizzes
7 videos
Welcome to Week 11m
Overview of GAN Applications6m
Data Augmentation: Methods and Uses5m
Data Augmentation: Pros & Cons2m
GANs for Privacy4m
GANs for Anonymity1m
8 readings
Syllabus5m
Connect with your mentors and fellow learners on Slack!5m
(Optional) Automated Data Augmentation1h
(Optional Notebook) Generative Teaching Networks1h
(Optional) Talking Heads
(Optional) De-identification40m
(Optional) GAN Fingerprints1h 10m
Works Cited30m
1 practice exercise
GANs Hippocratic Oath5m
Week
2

Week 2

12 hours to complete

Week 2: Image-to-Image Translation with Pix2Pix

12 hours to complete
8 videos (Total 29 min), 6 readings, 2 quizzes
8 videos
Image-to-Image Translation5m
Pix2Pix Overview4m
Pix2Pix: PatchGAN1m
Pix2Pix: U-Net8m
Pix2Pix: Pixel Distance Loss Term3m
Pix2Pix: Putting It All Together2m
Pix2Pix Advancements2m
6 readings
(Optional) The Pix2Pix Paper1h
(Optional Notebook) Pix2PixHD1h
(Optional Notebook) Super-resolution GAN (SRGAN)1h
(Optional) More Work Using PatchGAN50m
(Optional Notebook) GauGAN1h
Works Cited20m
Week
3

Week 3

7 hours to complete

Week 3: Unpaired Translation with CycleGAN

7 hours to complete
9 videos (Total 33 min), 5 readings, 1 quiz
9 videos
Unpaired Image-to-Image Translation3m
CycleGAN Overview4m
CycleGAN: Two GANs1m
CycleGAN: Cycle Consistency6m
CycleGAN: Least Squares Loss5m
CycleGAN: Identity Loss3m
CycleGAN: Putting It All Together2m
CycleGAN Applications & Variants4m
5 readings
(Optional) The CycleGAN Paper1h 10m
(Optional) CycleGAN for Medical Imaging50m
(Optional Notebook) MUNIT1h
Works Cited10m
Acknowledgements5m

Reviews

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About the Generative Adversarial Networks (GANs) Specialization

Generative Adversarial Networks (GANs)

Frequently Asked Questions

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