Learn Generative AI with Pytorch

Liu, Mark

  • 出版商: Manning
  • 出版日期: 2024-11-26
  • 售價: $2,280
  • 貴賓價: 9.5$2,166
  • 語言: 英文
  • 頁數: 432
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1633436462
  • ISBN-13: 9781633436466
  • 相關分類: DeepLearning人工智慧
  • 海外代購書籍(需單獨結帳)

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商品描述

Create your own generative AI models for text, images, music, and more!

Generative AI tools like ChatGPT, Bard, and DALL-E have transformed the way we work. Learn Generative AI with PyTorch 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!

In Learn Generative AI with PyTorch you'll build these amazing models:

  • A simple English-to-French translator
  • A text-generating model as powerful as GPT-2
  • A diffusion model that produces realistic flower images
  • Music generators using GANs and Transformers
  • An image style transfer model
  • A zero-shot know-it-all agent

All you need is Python and the fundamentals of machine learning to get started. You'll learn the rest as you go!

Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.

About the book

Learn Generative AI with PyTorch 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.

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.

About the reader

For Python programmers who know the basics of machine learning. No knowledge of PyTorch or generative AI required.

About the author

Dr. Mark Liu 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.

商品描述(中文翻譯)

建立您自己的生成式 AI 模型,適用於文本、圖像、音樂等更多領域!

生成式 AI 工具如 ChatGPT、Bard 和 DALL-E 已經改變了我們的工作方式。《使用 PyTorch 學習生成式 AI》將帶您踏上一段令人難以置信的實作旅程,透過使用 Python、免費的 PyTorch 框架以及您辦公室中已有的硬體來創建和訓練 AI 模型。在這個過程中,您將掌握生成對抗網絡(GANs)、變壓器(Transformers)、大型語言模型(LLMs)、變分自編碼器、擴散模型、LangChain 等的基本原理!

在《使用 PyTorch 學習生成式 AI》中,您將構建這些令人驚豔的模型:

- 一個簡單的英法翻譯器
- 一個與 GPT-2 一樣強大的文本生成模型
- 一個生成現實花卉圖像的擴散模型
- 使用 GANs 和 Transformers 的音樂生成器
- 一個圖像風格轉換模型
- 一個零樣本全知代理

您只需要 Python 和機器學習的基本知識即可開始。其餘的您將在過程中學習!

購買印刷版書籍可獲得 Manning Publications 提供的免費 PDF 和 ePub 格式電子書。

關於本書

《使用 PyTorch 學習生成式 AI》通過從零開始構建可運作的 AI 模型來教授生成式 AI 的基本原理。您將創建的每個模型都充滿趣味和吸引力,項目包括生成動漫角色的彩色圖像、改變照片中的髮色、訓練模型以海明威的風格寫作,以及生成莫札特風格的音樂。

在整個過程中,您將使用直觀的 PyTorch 框架,這對任何使用過 Python 數據工具的人來說都非常熟悉。您將首先使用生成對抗網絡(GANs)創建簡單的內容,如形狀、數字和圖像。然後,每一章都會介紹一個新項目,幫助您朝著構建自己的 LLMs 目標邁進。

關於讀者

適合已掌握機器學習基礎的 Python 程式設計師。不需要具備 PyTorch 或生成式 AI 的知識。

關於作者

Dr. Mark Liu 是肯塔基大學金融學的終身教授及金融碩士學程的創始主任。他擁有超過 20 年的編程經驗,並持有波士頓學院的金融博士學位。

作者簡介

Dr. Mark Liu 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.

作者簡介(中文翻譯)

馬克·劉博士是一位終身職的金融教授,也是肯塔基大學金融碩士學程的創始主任。他擁有超過20年的程式編寫經驗,並持有波士頓大學的金融博士學位。