Generative AI Modeling: Comprehensive Guide to Tools and Applications
Vemula, Anand
- 出版商: Independently Published
- 出版日期: 2024-06-23
- 售價: $820
- 貴賓價: 9.5 折 $779
- 語言: 英文
- 頁數: 130
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798329250404
- ISBN-13: 9798329250404
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相關分類:
人工智慧
海外代購書籍(需單獨結帳)
商品描述
"Generative AI Modeling: Comprehensive Guide to Tools and Applications" is an essential resource for anyone looking to delve into the fascinating world of generative artificial intelligence. This comprehensive guide offers a thorough exploration of the tools, frameworks, and applications that define modern generative AI.
The book begins with an in-depth introduction to generative AI, covering its historical background, fundamental machine learning concepts, and an overview of various generative models. Readers will gain a clear understanding of the differences between generative and discriminative models, as well as their practical applications across different domains.
A significant portion of the book is dedicated to exploring probabilistic graphical models, including Bayesian Networks and Markov Random Fields, highlighting their relevance and applications within generative AI contexts. The exploration continues with detailed insights into Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), providing comprehensive explanations of their architectures, training techniques, and real-world applications.
Throughout the chapters, practical implementation tips and hands-on exercises with complete solutions enrich the learning experience. Readers will learn how to build and train generative models using popular frameworks such as TensorFlow and PyTorch, ensuring they are equipped with the skills needed to deploy models effectively.
The book also includes case studies and success stories from various industries, showcasing how generative AI is revolutionizing fields like healthcare, finance, and entertainment. Discussions on ethical considerations and future trends in generative AI offer insights into its potential impact on society and industry.
"Generative AI Modeling: Comprehensive Guide to Tools and Applications" is a must-have resource for researchers, developers, and enthusiasts seeking to master the art and science of generative AI
商品描述(中文翻譯)
《生成式人工智慧建模：工具與應用的綜合指南》是任何希望深入探索生成式人工智慧迷人世界的必備資源。這本綜合指南提供了對定義現代生成式人工智慧的工具、框架和應用的全面探討。
本書以深入的生成式人工智慧介紹開始，涵蓋其歷史背景、基本的機器學習概念，以及各種生成模型的概述。讀者將清楚了解生成模型與判別模型之間的差異，以及它們在不同領域的實際應用。
書中有相當一部分專門探討概率圖模型，包括貝葉斯網絡和馬可夫隨機場，強調它們在生成式人工智慧背景下的相關性和應用。接下來的探討將深入介紹生成對抗網絡（GANs）和變分自編碼器（VAEs），提供其架構、訓練技術和實際應用的全面解釋。
在各章節中，實用的實作技巧和完整解答的動手練習豐富了學習體驗。讀者將學會如何使用流行的框架如 TensorFlow 和 PyTorch 來構建和訓練生成模型，確保他們具備有效部署模型所需的技能。
本書還包括來自各行各業的案例研究和成功故事，展示生成式人工智慧如何徹底改變醫療、金融和娛樂等領域。對於生成式人工智慧的倫理考量和未來趨勢的討論，提供了對其對社會和產業潛在影響的見解。
《生成式人工智慧建模：工具與應用的綜合指南》是研究人員、開發者和愛好者掌握生成式人工智慧藝術與科學的必備資源。
