{"product_id":"learn-generative-ai-with-pytorch-mark-liu-9781633436466","title":"Learn Generative AI with Pytorch","description":"\u003cb\u003eCreate your own generative AI models for text, images, music, and more!\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eGenerative AI tools like ChatGPT, Bard, and DALL-E have transformed the way we work. \u003ci\u003eLearn Generative AI with PyTorch\u003c\/i\u003e takes you on an incredible hands-on journey through creating and training AI models using Python, the free PyTorch framework and the hardware you already have in your office. 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! \u003cp\u003e\u003c\/p\u003e In \u003ci\u003eLearn Generative AI with PyTorch\u003c\/i\u003e you'll build these amazing models: \u003cp\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eA simple English-to-French translator\u003c\/li\u003e \u003cli\u003eA text-generating model as powerful as GPT-2\u003c\/li\u003e \u003cli\u003eA diffusion model that produces realistic flower images\u003c\/li\u003e \u003cli\u003eMusic generators using GANs and Transformers\u003c\/li\u003e \u003cli\u003eAn image style transfer model\u003c\/li\u003e \u003cli\u003eA zero-shot know-it-all agent\u003c\/li\u003e \u003c\/ul\u003e \u003cbr\u003eAll you need is Python and the fundamentals of machine learning to get started. You'll learn the rest as you go! \u003cp\u003e\u003c\/p\u003e Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the book\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003ci\u003eLearn Generative AI with PyTorch\u003c\/i\u003e teaches the underlying mechanics of generative AI by building working AI models from scratch. Every model you'll create is fun and fascinating, in projects that include generating color images of anime faces, changing the hair color in a photograph, training a model to write like Hemingway, and generating music in the style of Mozart. \u003cp\u003e\u003c\/p\u003e Throughout, you'll use the intuitive PyTorch framework that's instantly familiar to anyone who's worked with Python data tools. You'll begin by creating simple content like shapes, numbers, and images using Generative Adversarial Networks (GANs). Then, each chapter introduces a new project as you work towards building your own LLMs. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the reader\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e For Python programmers who know the basics of machine learning. No knowledge of PyTorch or generative AI required. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the author\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e Dr. \u003cb\u003eMark Liu\u003c\/b\u003e is a tenured finance professor and the founding director of the Master of Science in Finance program at the University of Kentucky. He has more than 20 years of coding experience, a Ph.D. in finance from Boston College.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Mark Liu\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1633436462\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781633436466\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Manning Publications\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/26\/2024\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 418\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.92lbs","brand":"Mark Liu","offers":[{"title":"Paperback","offer_id":46199278305535,"sku":"9781633436466","price":59.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_7e676c39-e965-4454-ad24-71711e9667b1.jpg?v=1727925584","url":"https:\/\/www.whiterainbookhouse.com\/products\/learn-generative-ai-with-pytorch-mark-liu-9781633436466","provider":"WR Book House","version":"1.0","type":"link"}