Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
A

Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

Нейронные сети
generative deep learning TensorFlow Keras variational autoencoders generative adversarial networks transformers diffusion models
Автор
David Foster
Издательство
O'Reilly Media
Год
2023
Язык
Английский
40
Оцените книгу

Чтобы читать книгу, войдите / зарегистрируйтесь

Ознакомительный фрагмент

Похожие книги

Generative Deep Learning with Python: Unleashing the Creative Power of AI

Generative Deep Learning with Python: Unleashing the Creative Power of AI

Cuantum Technologies

Deep Learning for Finance: Creating Machine and Deep Learning Models for Trading in Python

Deep Learning for Finance: Creating Machine and Deep Learning Models for Trading in Python

Sofien Kaabar

Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

Suneeta Mall

Generative AI Design Patterns: Solutions to Common Challenges When Building GenAI Agents and Applications

Generative AI Design Patterns: Solutions to Common Challenges When Building GenAI Agents and Applications

Valliappa Lakshmanan, Hannes Hapke

Learning Python: Powerful Object-Oriented Programming

Learning Python: Powerful Object-Oriented Programming

Mark Lutz

Learning Perl: Making Easy Things Easy and Hard Things Possible

Learning Perl: Making Easy Things Easy and Hard Things Possible

Randal L. Schwartz, brian d foy, Tom Phoenix

Designing Deep Learning Systems: A Guide for Software Engineers

Designing Deep Learning Systems: A Guide for Software Engineers

Chi Wang, Donald Szeto, Yan Xue

Visualizing Generative AI: How AI Paints, Writes, and Assists

Visualizing Generative AI: How AI Paints, Writes, and Assists

Priyanka Vergadia, Valliappa Lakshmanan

Generative AI Foundations in Python: Discover key techniques and navigate modern challenges in LLMs

Generative AI Foundations in Python: Discover key techniques and navigate modern challenges in LLMs

Carlos Rodriguez