Generative AI with Python and TensorFlow 2

Summary: Generative AI

Explore the fundamentals of generative AI by understanding how these models use probability and Bayes’ theorem to approach prediction differently. Learn about various applications and challenges in generative modeling, gaining insight into its role within broader machine learning methods.

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: Generative AI