Book Content
chapters • 16h16m total length
1. An Introduction to Generative AI: "Drawing" Data from Models
2. Setting Up a TensorFlow Lab
3. Building Blocks of Deep Neural Networks
4. Teaching Networks to Generate Digits
5. Painting Pictures with Neural Networks Using VAEs
6. Image Generation with GANs
7. Style Transfer with GANs
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
12. Play Video Games with Generative AI: GAIL
13. Emerging Applications in Generative AI
