Generative AI Hands-On: A Practical Guide to Model Development and Real-World Applications is a hands-on resource designed to equip readers with the skills and knowledge needed to build and apply generative AI models effectively. This comprehensive guide covers the entire process, from foundational concepts to advanced techniques, offering practical insights into real-world applications.
The book begins with an introduction to generative AI, explaining core concepts and its evolution. It outlines how generative models differ from other AI approaches and explores their diverse applications in fields such as text generation, image synthesis, and audio creation. Readers will gain a solid understanding of how these models work and their potential uses.
Part II focuses on the technical foundation of generative models, including machine learning basics, neural networks, and deep learning techniques. It delves into key types of generative models such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and autoregressive models, providing a clear explanation of their functionalities and differences.
The practical aspect of the book is emphasized in Part III, which guides readers through setting up their environment, including software, tools, and libraries. It covers data preparation, model implementation, and fine-tuning, allowing readers to create their own generative models.
Part IV showcases practical applications, offering hands-on projects for text, image, and audio generation. Case studies highlight the impact of generative AI in various domains, demonstrating its versatility and creativity.
The final part addresses ethical considerations and future trends in generative AI, covering topics such as bias, fairness, and emerging technologies. This ensures readers are prepared to navigate the evolving landscape responsibly.
"Generative AI Hands-On" is an essential guide for anyone looking to harness the power of generative AI for practical and innovative applications.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
EUR 5,91 für den Versand von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & DauerAnbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Bestandsnummer des Verkäufers ria9798333906717_new
Anzahl: Mehr als 20 verfügbar
Anbieter: PBShop.store US, Wood Dale, IL, USA
PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9798333906717
Anzahl: Mehr als 20 verfügbar
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9798333906717
Anzahl: Mehr als 20 verfügbar
Anbieter: California Books, Miami, FL, USA
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers I-9798333906717
Anzahl: Mehr als 20 verfügbar
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Paperback. Zustand: new. Paperback. Generative AI Hands-On: A Practical Guide to Model Development and Real-World Applications is a hands-on resource designed to equip readers with the skills and knowledge needed to build and apply generative AI models effectively. This comprehensive guide covers the entire process, from foundational concepts to advanced techniques, offering practical insights into real-world applications.The book begins with an introduction to generative AI, explaining core concepts and its evolution. It outlines how generative models differ from other AI approaches and explores their diverse applications in fields such as text generation, image synthesis, and audio creation. Readers will gain a solid understanding of how these models work and their potential uses.Part II focuses on the technical foundation of generative models, including machine learning basics, neural networks, and deep learning techniques. It delves into key types of generative models such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and autoregressive models, providing a clear explanation of their functionalities and differences.The practical aspect of the book is emphasized in Part III, which guides readers through setting up their environment, including software, tools, and libraries. It covers data preparation, model implementation, and fine-tuning, allowing readers to create their own generative models.Part IV showcases practical applications, offering hands-on projects for text, image, and audio generation. Case studies highlight the impact of generative AI in various domains, demonstrating its versatility and creativity.The final part addresses ethical considerations and future trends in generative AI, covering topics such as bias, fairness, and emerging technologies. This ensures readers are prepared to navigate the evolving landscape responsibly."Generative AI Hands-On" is an essential guide for anyone looking to harness the power of generative AI for practical and innovative applications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798333906717
Anzahl: 1 verfügbar
Anbieter: Grand Eagle Retail, Fairfield, OH, USA
Paperback. Zustand: new. Paperback. Generative AI Hands-On: A Practical Guide to Model Development and Real-World Applications is a hands-on resource designed to equip readers with the skills and knowledge needed to build and apply generative AI models effectively. This comprehensive guide covers the entire process, from foundational concepts to advanced techniques, offering practical insights into real-world applications.The book begins with an introduction to generative AI, explaining core concepts and its evolution. It outlines how generative models differ from other AI approaches and explores their diverse applications in fields such as text generation, image synthesis, and audio creation. Readers will gain a solid understanding of how these models work and their potential uses.Part II focuses on the technical foundation of generative models, including machine learning basics, neural networks, and deep learning techniques. It delves into key types of generative models such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and autoregressive models, providing a clear explanation of their functionalities and differences.The practical aspect of the book is emphasized in Part III, which guides readers through setting up their environment, including software, tools, and libraries. It covers data preparation, model implementation, and fine-tuning, allowing readers to create their own generative models.Part IV showcases practical applications, offering hands-on projects for text, image, and audio generation. Case studies highlight the impact of generative AI in various domains, demonstrating its versatility and creativity.The final part addresses ethical considerations and future trends in generative AI, covering topics such as bias, fairness, and emerging technologies. This ensures readers are prepared to navigate the evolving landscape responsibly."Generative AI Hands-On" is an essential guide for anyone looking to harness the power of generative AI for practical and innovative applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798333906717
Anzahl: 1 verfügbar