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216104673
Learn Generative AI with PyTorch
Item #:
216104673
PHP 5423
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Learn Generative AI with PyTorch teaches the underlying mechanics of generative AI by building working AI models from scratch.
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- 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 translatorA text-generating model as powerful as GPT-2A diffusion model that produces realistic flower imagesMusic generators using GANs and TransformersAn image style transfer modelA 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.
| Publisher | Manning Publications |
| Publication date | 26 Nov. 2024 |
| Edition | 1st |
| Language | English |
| Print length | 432 pages |
| ISBN-10 | 1633436462 |
| ISBN-13 | 978-1633436466 |
| Dimensions | 18.73 x 2.03 x 23.5 cm |
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Learn Generative AI with PyTorch
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English edition Mark Liu Format: Paperback Editorial Review
Learn Generative AI With PyTorch by Manning Publications is a comprehensive guide for those looking to delve into the world of AI. This first edition, published on 26 Nov. 2024, spans 432 pages, providing readers with a thorough understanding of generative AI techniques using PyTorch. The book is written in English and is designed for both beginners and experienced professionals. With clear explanations and practical examples throughout, readers can expect to gain valuable skills in AI development, making complex concepts accessible and engaging.
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Pros
- Comprehensive 432-page guide to generative AI
- Written by respected Manning Publications
- Suitable for beginners and experienced users
- Clear explanations enhance understanding
- Practical examples for hands-on learning
Cons
- Could be overwhelming for complete beginners
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Features & Benefits
- Master the fundamentals of Generative AI through hands-on projects.
- Build models that generate text, images, and music with ease.
- Utilize the intuitive PyTorch framework, perfect for Python users.
- Create state-of-the-art models like GPT-2 and realistic image generators.
- No prior machine learning expertise required; basic Python skills are enough.
- Learn and apply advanced techniques like GANs, Transformers, and more.
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