1 option
Introduction to Generative AI with Julia and Python : From Theory to Practice / by Pierluigi Riti.
- Format:
- Book
- Author/Creator:
- Riti, Pierluigi.
- Series:
- Professional and Applied Computing Series
- Language:
- English
- Subjects (All):
- Generative artificial intelligence.
- Julia (Computer program language).
- Python (Computer program language).
- Physical Description:
- 1 online resource (178 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Berkeley, CA : Apress : Imprint: Apress, 2026.
- Summary:
- 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. You will: 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 .
- 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.
- Notes:
- Description based upon print version of record.
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 979-88-6882-329-9
- OCLC:
- 1572094735
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.