Description: Learn Generative AI with PyTorch by Mark Liu Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Learn how generative AI works by building your very own models that can write coherent text, create realistic images, and even make lifelike music. Publisher Description 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, youll use the intuitive PyTorch framework thats instantly familiar to anyone whos worked with Python data tools. Along the way, youll 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 youll 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 dont 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. Author Biography Mark Liu is the founding director of the Master of Science in Finance program at the University of Kentucky.The technical editor on this book was Emmanuel Maggiori. Details ISBN 1633436462 ISBN-13 9781633436466 Title Learn Generative AI with PyTorch Author Mark Liu Format Hardcover Year 2025 Pages 432 Publisher Manning Publications GE_Item_ID:168888050; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 66.88 USD
Location: Fairfield, Ohio
End Time: 2025-01-05T03:33:27.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781633436466
Book Title: Learn Generative AI with PyTorch
Number of Pages: 432 Pages
Language: English
Publication Name: Learn Generative Ai with Pytorch
Publisher: Manning Publications Co. LLC
Publication Year: 2024
Subject: Expert Systems, Programming Languages / Python
Item Height: 1.1 in
Type: Textbook
Item Weight: 25.6 Oz
Item Length: 9.2 in
Subject Area: Computers
Author: Mark Liu
Item Width: 7.4 in
Format: Trade Paperback