Generative_Deep_Learning_2nd_Edition

? Code repository for <Learn by Creating Generative AI, 2nd Edition>

This repository contains the code of “Generative AI 2nd edition to learn while making” published by Hanbit Media. (Kyobo Book Center, Yes24, Aladdin, Hanbit Media)

If you purchase a book, be sure to check the error page. Notebooks in this repository have been tested on TensorFlow 2.12.0 and 2.14.0.

The GitHub version of the first version is here.

index

PART 1: Introduction to Generative Deep Learning

• Chapter 1: Sungseong Modeling
• Chapter 2: Deep Learning
  • Multilayer Perceptron
  • convolution
  • convolutional neural network

PART 2: Six Generative Modeling Methods

• Chapter 3: Variational Autoencoders
  • autoencoder
  • Variational Autoencoder - Fashion MNIST
  • Variant autoencoder - CelebA
• Chapter 4: Generative Adversarial Networks
  • DCGAN
  • WGAN-GP
  • CGAN
• Chapter 5: Autoregressive Models
  • LSTM
  • PixelCNN
  • PixelCNN - Mixed Distribution
• Chapter 6: Normalizing Flow Model
  • RealNVP
• Chapter 7: Energy-based models
  • EBM
• Chapter 8: Diffusion Model
  • diffusion model

PART 3: Applications of Generative Modeling

• Chapter 9: Transformers
  • GPT
• Chapter 10: Advanced GANs
• Chapter 11: Creating Music
  • transformer
  • MuseGAN
• Chapter 12: World Model
• Chapter 13: Multimodal Models
• Chapter 14: Conclusion

Each chapter's notebook includes a link to run it in Google Colab.