# Build Basic Generative Adversarial Networks (GANs)
## Week 1 - Intro to GANs
- [Lab: (Optional) Intro to PyTorch](https://github.com/y33-j3T/Coursera/blob/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)/Week%201%20-%20Intro%20to%20GANs/Intro_to_PyTorch.ipynb)
- [Programming Assignment: Your First GAN](https://github.com/y33-j3T/Coursera/blob/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)/Week%201%20-%20Intro%20to%20GANs/C1W1_Your_First_GAN.ipynb)

## Week 2 - Deep Convolutional GANs
- [Programming Assignment: Deep Convolutional GAN (DCGAN)](https://github.com/y33-j3T/Coursera/blob/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)/Week%202%20-%20Deep%20Convolutional%20GANs/C1_W2_Assignment.ipynb)

## Week 3 - Wasserstein GANs with Gradient Penalty
- [Lab: (Optional) SN-GAN](https://github.com/y33-j3T/Coursera/blob/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)/Week%203%20-%20Wasserstein%20GANs%20with%20Gradient%20Penalty/SNGAN.ipynb)
- [Programming Assignment: WGAN](https://github.com/y33-j3T/Coursera/blob/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)/Week%203%20-%20Wasserstein%20GANs%20with%20Gradient%20Penalty/C1W3_WGAN_GP.ipynb)

## Week 4 - Conditional GAN & Controllable Generation
- [Lab: (Optional) InfoGAN](https://github.com/y33-j3T/Coursera/blob/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)/Week%204%20-%20Conditional%20GAN%20%26%20Controllable%20Generation/C1W4_(Optional_Notebook)_InfoGAN.ipynb)
- [Programming Assignment: Conditional GAN](https://github.com/y33-j3T/Coursera/blob/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)/Week%204%20-%20Conditional%20GAN%20%26%20Controllable%20Generation/C1W4A_Build_a_Conditional_GAN.ipynb)
- [Programming Assignment: Controllable Generation](https://github.com/y33-j3T/Coursera/blob/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)/Week%204%20-%20Conditional%20GAN%20%26%20Controllable%20Generation/C1W4B_Controllable_Generation.ipynb)


Collaborative Calculation and Data Science

colby

sagemath

Build Basic Generative Adversarial Networks (GANs)

Week 1 - Intro to GANs

Week 2 - Deep Convolutional GANs

Week 3 - Wasserstein GANs with Gradient Penalty

Week 4 - Conditional GAN & Controllable Generation

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