Generative Adversarial Networks (GANs) Specialization

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Intermediate

1. Intro to GANs
- 1.Welcome to the Specialization.mp4
  
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- 2.Welcome to Week 1.mp4
  
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- 3.Generative Models.mp4
  
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- 4.Real Life GANs.mp4
  
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- 5.Intuition Behind GANs.mp4
  
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- 6.Discriminator.mp4
  
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- 7.Generator.mp4
  
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- 8.BCE Cost Function.mp4
  
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- 9.Putting It All Together.mp4
  
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- 10.(Optional) Intro to PyTorch.mp4
  
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Assignment
- C1W1_Your_First_GAN.ipynb
  
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- C1W1_Your_First_GAN.py
  
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- Files.zip
  
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Lab
- Files.zip
  
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- Intro_to_PyTorch.ipynb
  
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- Intro_to_PyTorch.py
  
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1. Deep Convolutional GANs
- 1.Welcome to Week 2.mp4
  
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- 2.Activations (Basic Properties).mp4
  
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- 3.Common Activation Functions.mp4
  
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- 4.Batch Normalization (Explained).mp4
  
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- 5.Batch Normalization (Procedure).mp4
  
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- 6.Review of Convolutions.mp4
  
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- 7.Padding and Stride.mp4
  
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- 8.Pooling and Upsampling.mp4
  
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- 9.Transposed Convolutions.mp4
  
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Assignment
- C1_W2_Assignment.ipynb
  
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- Files.zip
  
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1. Wasserstein GANs with Gradient Penalty
- 1.Welcome to Week 3.mp4
  
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- 2.Mode Collapse.mp4
  
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- 3.Problem with BCE Loss.mp4
  
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- 4.Earth Mover’s Distance.mp4
  
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- 5.Wasserstein Loss.mp4
  
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- 6.Condition on Wasserstein Critic.mp4
  
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- 7.1-Lipschitz Continuity Enforcement.mp4
  
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Assigment
- C1W3_WGAN_GP.ipynb
  
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- C1W3_WGAN_GP.py
  
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- Files.zip
  
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Lab
- Files.zip
  
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- SNGAN.ipynb
  
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- SNGAN.py
  
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1. Conditional GAN & Controllable Generation
- 1.Welcome to Week 4.mp4
  
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- 2.Conditional Generation: Intuition.mp4
  
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- 3.Conditional Generation: Inputs.mp4
  
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- 4.Controllable Generation.mp4
  
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- 5.Vector Algebra in the Z-Space.mp4
  
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- 6.Challenges with Controllable Generation.mp4
  
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- 7.Classifier Gradients.mp4
  
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- 8.Disentanglement.mp4
  
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- 9.Conclusion of Course 1.mp4
  
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Programming Assignment: Conditional GAN
- C1W4A_Build_a_Conditional_GAN.ipynb
  
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- Files.zip
  
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Programming Assignment: Controllable Generation
- C1W4B_Controllable_Generation.ipynb
  
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- Files.zip
  
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1. Evaluation of GANs
- 1.Welcome to Course 2.mp4
  
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- 2. Welcome to Week 1.mp4
  
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- 3.Evaluation.mp4
  
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- 4.Comparing Images.mp4
  
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- 5.Feature Extraction.mp4
  
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- 6.Inception-v3 and Embeddings.mp4
  
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- 7.Fréchet Inception Distance (FID).mp4
  
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- 8.Inception Score.mp4
  
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- 9.Sampling and Truncation.mp4
  
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- 10.Precision and Recall.mp4
  
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Assignment
- C2W1_Assignment.ipynb
  
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- C2W1_Assignment.py
  
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- Files.zip
  
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Lab
- Files.zip
  
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- PPL.ipynb
  
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- PPL.py
  
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1. GAN Disadvantages and Bias
- 1. Welcome to Week 2.mp4
  
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- 2.Disadvantages of GANs.mp4
  
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- 3.Alternatives to GANs.mp4
  
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- 4.Intro to Machine Bias.mp4
  
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- 5.Defining Fairness .mp4
  
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- 6.Ways Bias is Introduced.mp4
  
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Assignment
- C2W2_Assignment.ipynb
  
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- C2W2_Assignment.py
  
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- Files.zip
  
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Lab
- C2W2_VAE.ipynb
  
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- C2W2_VAE.py
  
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- Files.zip
  
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Quiz
- 1-2.png
  
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- 3-4.png
  
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- 5-6.png
  
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- 7.png
  
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1. StyleGAN and Advancements
- 1. Welcome to Week 3.mp4
  
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- 2.GAN Improvements.mp4
  
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- 3.StyleGAN Overview.mp4
  
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- 4.Progressive Growing.mp4
  
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- 5.Noise Mapping Network.mp4
  
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- 6.Adaptive Instance Normalization (AdaIN).mp4
  
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- 7.Style and Stochastic Variation.mp4
  
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- 8.Putting It All Together.mp4
  
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- 9.Conclusion of Course 2.mp4
  
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Assignment
- C2W3_Assignment.ipynb
  
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- C2W3_Assignment.py
  
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- Files.zip
  
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1. GANs for Data Augmentation and Privacy
- 1.Welcome to Course 3.mp4
  
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- 2.Welcome to Week 1.mp4
  
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- 3.Overview of GAN Applications.mp4
  
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- 4.Data Augmentation: Methods and Uses.mp4
  
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- 5.Data Augmentation: Pros & Cons.mp4
  
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- 6.GANs for Privacy.mp4
  
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- 7.GANs for Anonymity.mp4
  
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Assignment
- C3W1_Assignment.ipynb
  
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- C3W1_Assignment.py
  
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- Files.zip
  
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Quiz
- 1.png
  
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1. Image-to-Image Translation with Pix2Pix
- 1.Welcome to Week 2.mp4
  
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- 2.Image-to-Image Translation.mp4
  
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- 3.Pix2Pix Overview.mp4
  
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- 4.Pix2Pix: PatchGAN.mp4
  
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- 5.Pix2Pix: U-Net.mp4
  
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- 6.Pix2Pix: Pixel Distance Loss Term.mp4
  
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- 7.Pix2Pix: Putting It All Together.mp4
  
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- 8.Pix2Pix Advancements.mp4
  
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Assignment
- C3W2A_Assignment.ipynb
  
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- C3W2A_Assignment.py
  
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Programming Assignment: U-Net
- Fi.zip
  
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1. Unpaired Translation with CycleGAN
- 1.Welcome to Week 3.mp4
  
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- 2.Unpaired Image-to-Image Translation.mp4
  
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- 3.CycleGAN Overview.mp4
  
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- 4.CycleGAN: Two GANs.mp4
  
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- 5.CycleGAN: Cycle Consistency.mp4
  
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- 6.CycleGAN: Least Squares Loss.mp4
  
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- 7.CycleGAN: Identity Loss.mp4
  
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- 8.CycleGAN: Putting It All Together.mp4
  
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- 9.CycleGAN Applications & Variants.mp4
  
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Assignment
- C3W3_Assignment.ipynb
  
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- C3W3_Assignment.py
  
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- Files.zip
  
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