國立虎尾科技大學 |

A generative journey to AI = mastering the foundations and frontiers of generative deep learning /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A generative journey to AI / Toni Ramchandani.
Reminder of title:	mastering the foundations and frontiers of generative deep learning /
Author:	Ramchandani, Toni.
Description:	1 online resource (478 pages)
Subject:	COMPUTERS / Data Science / Neural Networks. -
Online resource:	https://portal.igpublish.com/iglibrary/search/BPB0000708.html
ISBN:	9789365890846

A generative journey to AI = mastering the foundations and frontiers of generative deep learning /
Ramchandani, Toni.

A generative journey to AI mastering the foundations and frontiers of generative deep learning /[electronic resource] ：Toni Ramchandani. - 1 online resource (478 pages)

Includes bibliographical references and index.

A generative journey to AI : mastering the foundations and frontiers of generative deep learning -- About the Author -- About the Reviewers -- Acknowledgement -- Preface -- Code Bundle and Coloured Images -- Table of Contents -- 1. Introduction to Deep Learning -- 2. Neural Networks and Deep Learning Architectures -- 3. Unveiling Generative Models -- 4. Generative Adversarial Networks -- 5. Variational Autoencoders -- 6. Diffusion Models -- 7. Transformers and Large Language Models -- 8. Exploring Generative Models -- 9. Video and Music Generation -- 10. Artistic Side of Generative AI -- 11. Ethics, Challenges, and Future -- Index.

Access restricted to authorized users and institutions.

Explore the world of generative AI, a technology capable of creating new data that closely resembles reality. This book covers the fundamentals and advances through cutting-edge techniques. It also clarifies complex concepts, guiding you through the essentials of deep learning, neural networks, and the exciting world of generative models, like GANs, VAEs, Transformers, etc. This book introduces deep learning, machine learning, and neural networks as the foundation of generative models, covering types like GANs and VAEs, diffusion models, and other advanced architectures. It explains their structure, training methods, and applications across various fields. It discusses ethical considerations, responsible development, and future trends in generative AI. It concludes by highlighting how generative AI can be used creatively, transforming fields like art and pushing the boundaries of human creativity, while also addressing the challenges of using these technologies responsibly. This book provides the tools and knowledge needed to leverage generative AI in real-world applications. By the time you complete it, you will have a solid foundation and the confidence to explore the frontiers of AI. KEY FEATURES Comprehensive guide to mastering generative AI and deep learning basics. Covers text, audio, and video generation with practical examples. Insights into emerging trends and potential advancements in the field. WHAT YOU WILL LEARN Understand the fundamentals of deep learning and neural networks. Master generative models like GANs, VAEs, and Transformers. Implement AI techniques for text, audio, and video creation. Apply generative AI in real-world scenarios and applications. Navigate ethical challenges and explore the future of AI. WHO THIS BOOK IS FOR This book is ideal for AI enthusiasts, developers, and professionals with a basic understanding of Python programming and machine learning.

Mode of access: World Wide Web.

ISBN: 9789365890846Subjects--Topical Terms:

1483844
COMPUTERS / Data Science / Neural Networks.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 006.3

A generative journey to AI = mastering the foundations and frontiers of generative deep learning /
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505 0 # $a A generative journey to AI : mastering the foundations and frontiers of generative deep learning -- About the Author -- About the Reviewers -- Acknowledgement -- Preface -- Code Bundle and Coloured Images -- Table of Contents -- 1. Introduction to Deep Learning -- 2. Neural Networks and Deep Learning Architectures -- 3. Unveiling Generative Models -- 4. Generative Adversarial Networks -- 5. Variational Autoencoders -- 6. Diffusion Models -- 7. Transformers and Large Language Models -- 8. Exploring Generative Models -- 9. Video and Music Generation -- 10. Artistic Side of Generative AI -- 11. Ethics, Challenges, and Future -- Index.
506 # $a Access restricted to authorized users and institutions.
520 3 $a Explore the world of generative AI, a technology capable of creating new data that closely resembles reality. This book covers the fundamentals and advances through cutting-edge techniques. It also clarifies complex concepts, guiding you through the essentials of deep learning, neural networks, and the exciting world of generative models, like GANs, VAEs, Transformers, etc. This book introduces deep learning, machine learning, and neural networks as the foundation of generative models, covering types like GANs and VAEs, diffusion models, and other advanced architectures. It explains their structure, training methods, and applications across various fields. It discusses ethical considerations, responsible development, and future trends in generative AI. It concludes by highlighting how generative AI can be used creatively, transforming fields like art and pushing the boundaries of human creativity, while also addressing the challenges of using these technologies responsibly. This book provides the tools and knowledge needed to leverage generative AI in real-world applications. By the time you complete it, you will have a solid foundation and the confidence to explore the frontiers of AI. KEY FEATURES Comprehensive guide to mastering generative AI and deep learning basics. Covers text, audio, and video generation with practical examples. Insights into emerging trends and potential advancements in the field. WHAT YOU WILL LEARN Understand the fundamentals of deep learning and neural networks. Master generative models like GANs, VAEs, and Transformers. Implement AI techniques for text, audio, and video creation. Apply generative AI in real-world scenarios and applications. Navigate ethical challenges and explore the future of AI. WHO THIS BOOK IS FOR This book is ideal for AI enthusiasts, developers, and professionals with a basic understanding of Python programming and machine learning.
538 $a Mode of access: World Wide Web.
650 # 7 $a COMPUTERS / Data Science / Neural Networks. $2 bisacsh $3 1483844
650 # 7 $a COMPUTERS / Artificial Intelligence / Natural Language Processing. $2 bisacsh $3 1483851
655 # 4 $a Electronic books. $2 local $3 554714
856 4 0 $u https://portal.igpublish.com/iglibrary/search/BPB0000708.html