Generative AI with Python and TensorFlow 2

Setting Up a TensorFlow Lab

Explore how to establish a reproducible TensorFlow 2 lab environment with tools like Docker, Jupyter, and Kubernetes. Learn to run local and distributed training, manage dependencies, and scale across CPUs and GPUs to support generative AI implementations.

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

Setting Up a TensorFlow Lab