Summary: Syle Transfer with GANs

Explore image-to-image translation techniques using GANs for creative style transfer tasks. Understand paired setups with pix2pix architecture, including encoder-decoder generators and Patch-GAN discriminators. Learn unpaired translation with CycleGAN, incorporating cycle-consistency and identity loss. Build models from scratch with TensorFlow-Keras and experiment with real-world datasets to achieve high-fidelity image transformations.

We'll cover the following...

1.Introduction to the Course

2.An Introduction to Generative AI

3.Building Blocks of Deep Neural Networks

4.Teaching Networks to Generate Digits

5.Painting Pictures with Neural Networks Using VAEs

Project

6.Image Generation with GANs

Project

7.Style Transfer with GANs

Assessment

8.Deepfakes with GANs

9.The Rise of Methods for Text Generation

10.NLP 2.0: Using Transformers to Generate Text

11.Composing Music with Generative Models

Project

12.Play Video Games with Generative AI: GAIL

13.Emerging Applications in Generative AI

Assessment

14.Conclusion

15.Appendix

Summary: Syle Transfer with GANs