BÜCHER VERSANDKOSTENFREI INNERHALB DEUTSCHLANDS
Introduction to Generative AI with Julia and Python
From Theory to Practice
Apress
ISBN 9798868823282
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Softcover
2026
18 s/w-Abbildungen, 23 Farbabbildungen.
Umfang: ii, 130 S.
Format (B x L): 17,8 x 25,4 cm
Verlag: Apress
ISBN: 9798868823282
Produktbeschreibung
Elevate your coding capabilities and gain the skills necessary for maximized performance and career opportunities in the field of Artificial Intelligence. This book is a step-by-step guide designed to equip software engineers with solid foundation of Generative AI basics.
The book begins by introducing Generative AI using Google Colab to establish a solid foundation, before demonstrating how to leverage Python and Julia’s AI capabilities to construct Artificial Neural Networks. You’ll then explore advanced AI models, such as variational autoencoders, in order to generative images and text.
Author Pierluigi Riti not only navigates the complexities of this emerging topic but fills a crucial gap by guiding software engineers through theory before leading them to produce different types of models using only free resources.
What You Will Learn
- Acquire a solid foundation of Generative AI basics.
- Utilize the capabilities of Python and Julia to constructure Artificial Neural Networks
- Explore advanced AI models including variational autoencoders, to generate images
- Survey different architectures for AI and utilize free resources to produce different AI
Who This Book Is For
Programmers new to artificial intelligence, but with a fundamental grasp of Python.
The book begins by introducing Generative AI using Google Colab to establish a solid foundation, before demonstrating how to leverage Python and Julia’s AI capabilities to construct Artificial Neural Networks. You’ll then explore advanced AI models, such as variational autoencoders, in order to generative images and text.
Author Pierluigi Riti not only navigates the complexities of this emerging topic but fills a crucial gap by guiding software engineers through theory before leading them to produce different types of models using only free resources.
What You Will Learn
- Acquire a solid foundation of Generative AI basics.
- Utilize the capabilities of Python and Julia to constructure Artificial Neural Networks
- Explore advanced AI models including variational autoencoders, to generate images
- Survey different architectures for AI and utilize free resources to produce different AI
Who This Book Is For
Programmers new to artificial intelligence, but with a fundamental grasp of Python.
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