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Название: AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning (Early Release)
Автор: Laurence Moroney
Издательство: O’Reilly Media, Inc.
Год: 2025-01-21
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Eager to learn AI and Machine Learning but unsure where to start? Laurence Moroney's hands-on, code-first guide demystifies complex AI concepts without relying on advanced mathematics. Designed for programmers, it focuses on practical applications using PyTorch, helping you build real-world models without feeling overwhelmed.

From computer vision and natural language processing (NLP) to Generative AI with Hugging Face Transformers, this book equips you with the skills most in demand for AI development today. You'll also learn how to deploy your models across the web and cloud confidently.

When it comes to creating Artificial Intelligence, Machine Learning and Deep Learning are a great place to begin. When getting started, however, it’s easy to get overwhelmed by the options and all the new terminology. This book aims to demystify things for programmers, taking you through writing code to implement concepts of Machine Learning and Deep Learning, and building models that behave more as a human does, with scenarios like computer vision, natural language processing, and more. Thus, they become a form of synthesized, or artificial, intelligence.

But when we refer to Machine Learning, what in fact is this phenomenon? Let’s take a quick look at that, and consider it from a programmer’s perspective before we go any further. After that, this chapter will show you how to install the tools of the trade, from PyTorch itself to environments where you can code and debug your PyTorch code.

Gain the confidence to apply AI without needing advanced math or theory expertise
Discover how to build AI models for computer vision, NLP, and sequence modeling with PyTorch
Learn generative AI techniques with Hugging Face Diffusers and Transformers

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Автор: Ingvar16 22-01-2025, 16:48 | Напечатать |
 
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