LEARN GENERATIVE AI WITH PYTORCH

Name: LEARN GENERATIVE AI WITH PYTORCH
Brand: MANNING
SKU: 9781633436466
Price: 59.46 EUR
Availability: InStock

Автор: LIU MARK

Език:

Корици: С меки корици

Издател: MANNING

Наличност: Външен склад

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59.46 € 116.29 лв

Learn how generative AI works by building your very own models that can write coherent text, creat...

Информация за книгата

Автор

LIU MARK

Език

Английски език

Корици

Книга - С меки корици

Издадена

2024

страници

432

EAN

9781633436466

Enbook ID

46083521

Издател

MANNING

Теглоt

790

Пълно описание

Learn how generative AI works by building your very own models that can write coherent text, create realistic images, and even make lifelike music.

Learn Generative AI with PyTorch teaches the underlying mechanics of generative AI by building working AI models from scratch. Throughout, you''ll use the intuitive PyTorch framework that''s instantly familiar to anyone who''s worked with Python data tools. Along the way, you''ll master the fundamentals of General Adversarial Networks (GANs), Transformers, Large Language Models (LLMs), variational autoencoders, diffusion models, LangChain, and more!

In Learn Generative AI with PyTorch you''ll build these amazing models:

A simple English-to-French translator
A text-generating model as powerful as GPT-2
A diffusion model that produces realistic flower images
Music generators using GANs and Transformers
An image style transfer model
A zero-shot know-it-all agent

The generative AI projects you create use the same underlying techniques and technologies as full-scale models like GPT-4 and Stable Diffusion. You don''t need to be a machine learning expert—you can get started with just some basic Python programming skills.

About the technology:

Transformers, Generative Adversarial Networks (GANs), diffusion models, LLMs, and other powerful deep learning patterns have radically changed the way we manipulate text, images, and sound. Generative AI may seem like magic at first, but with a little Python, the PyTorch framework, and some practice, you can build interesting and useful models that will train and run on your laptop. This book shows you how.

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