Welcome to My Repo. for GANs Specialization by DeepLearning.ai

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In this course I've learned all about GANs, how to build them from scratch and how to enhance enhance them.

I've learned all about the techniques that's used in Advanced Generative Models , like:

* Generator, Discriminator tradeoff 
* Generative loss, metrics
* Conditional Generation
* Feature spaces
* Data Augmentation effect 
* Advanced use cases of GANs

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The projects I've done in this course were all in pytorch language:

Course 1

* Vanilla GAN
* DCGAN
* Conditional GAN
* SN-GAN
* WGAN-GP

Course 2

* FID Evaluation metric
* PPL Evaluation metric
* StyleGAN
* VAE

Course 3

* Pix2Pix
* U-Nets with GANs
* CycleGAN
* Pix2PixHD
* GauGAN
* SRGAN