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Item #:
138565241
Learn Generative AI with PyTorch
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Item #:
138565241
AED 243
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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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What Stands Out
Hands-on Approach
Engage in practical projects that solidify theoretical concepts, ensuring effective learning and immediate application of generative AI techniques using PyTorch.
Expert Guidance
Learn from industry experts with extensive experience in machine learning and AI, providing valuable insights and mentorship throughout the educational journey.
Comprehensive Curriculum
Explore a well-structured syllabus covering essential generative AI topics, from basic principles to advanced applications, catering to both beginners and seasoned practitioners.
Product Details
- 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 | 13 Dec. 2024 |
| Edition | 1st |
| Language | English |
| Print length | 432 pages |
| ISBN-10 | 1633436462 |
| ISBN-13 | 978-1633436466 |
| Item weight | 726 g |
| Dimensions | 18.73 x 2.03 x 23.5 cm |
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AI & Machine Learning Editorial Review
Learn Generative AI With PyTorch is a comprehensive guide published by Manning Publications that delves into the exciting world of Generative AI. It provides a solid foundation with 432 pages of in-depth content aimed at both beginners and experienced practitioners. The first edition, published on December 13, 2024, is written in English, making the complex topics accessible to a wider audience. The book covers key concepts and practical applications of PyTorch in the realm of generative models, ensuring readers can effectively implement them. This combination of thorough explanations and practical insights makes it a must-read for anyone looking to enhance their understanding of this rapidly evolving field.
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Pros
- Comprehensive coverage of Generative AI concepts
- Practical applications using PyTorch
- Suitable for beginners and experienced users
- Well-structured with clear explanations
- High-quality publication by Manning Publications
Cons
- May not cover the latest developments after publication date
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AED 243
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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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