Generative Adversarial Networks (GANs) Specialization

0 %

Course content

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

6.Review of Convolutions.mp4

Views
0	Total Views
0	Members Views
0	Public Views

Actions
0	Likes
0	Dislikes
0	Comments

Generative Adversarial Networks (GANs) Specialization

6.Review of Convolutions.mp4

Share on Social Networks

Share Link

Share by mail

Embed in your website