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. 14 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. 14 hours to complete
English

Offered by

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DeepLearning.AI

Syllabus - What you will learn from this course

Week
1

Week 1

4 hours to complete

Week 1: GANs for Data Augmentation and Privacy

4 hours to complete
7 videos (Total 25 min), 1 reading, 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
1 reading
Syllabus5m
1 practice exercise
GANs Hippocratic Oath5m
Week
2

Week 2

7 hours to complete

Week 2: Image-to-Image Translation with Pix2Pix

7 hours to complete
8 videos (Total 31 min)
8 videos
Image-to-Image Translation5m
Pix2Pix Overview5m
Pix2Pix: PatchGAN1m
Pix2Pix: U-Net9m
Pix2Pix: Pixel Distance Loss Term3m
Pix2Pix: Putting It All Together2m
Pix2Pix Advancements2m
Week
3

Week 3

4 hours to complete

Week 3: Unpaired Translation with CycleGAN

4 hours to complete
9 videos (Total 33 min)
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

About the Generative Adversarial Networks (GANs) Specialization

Generative Adversarial Networks (GANs)

Frequently Asked Questions

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