TY  - BOOK
AU  - Foster, David
AU  - Friston, Karl
TI  - Generative Deep Learning Teaching Machines to Paint Write Compose and Play
SN  - 9781098134181
U1  - 006.31 
PY  - 2023///
CY  - Beijing
PB  - O'Reilly
KW  - Neural Networks Computer Science
KW  - Machine Learning
KW  - Artificial Intelligence
N1  - YY
N2  - SUMMARY

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.

The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative.

    Discover how VAEs can change facial expressions in photos
    Train GANs to generate images based on your own dataset
    Build diffusion models to produce new varieties of flowers
    Train your own GPT for text generation
    Learn how large language models like ChatGPT are trained
    Explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN
    Compose polyphonic music using Transformers and MuseGAN
    Understand how generative world models can solve reinforcement learning tasks
    Dive into multimodal models such as DALL.E 2, Imagen, and Stable Diffusion

This book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage
UR  - https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781098134181.pdf
UR  - https://www.oreilly.com/library/view/generative-deep-learning/9781098134174/
ER  -