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Introduction to Generative AI with Julia and Python by Pierluigi Riti
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 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 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 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 ForProgrammers new to artificial intelligence, but with a fundamental grasp of Python. FORMAT
Paperback CONDITION
Brand New Table of Contents
Chapter 1:Artificial Intelligence: A Gentle Introduction.- Chapter 2:Introduction to Julia.- Chapter3: Introduction to Python.- Chapter 4: Introduction to Generative Artificial Intelligence.- Chapter 5: Generative Adversarial Models.- Chapter 6: Autoencoder.- Chapter 7: Variational Autoencoder.
Details ISBN Author Pierluigi Riti Publisher APress Year 2026 ISBN-13 9798868823282 Format Paperback Imprint APress Subtitle From Theory to Practice Place of Publication Berkley Country of Publication United States Alternative 9798868823299 Country of Origin NL Product Class Description Computing: Professional & Programming Pages 248 Audience Professional & Vocational DEWEY 006.3 Illustrations 42 Illustrations, black and white Publication Date 2026-02-01 US Release Date 2026-02-01 UK Release Date 2026-02-01
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