Natural Language Processing for Computer Vision (Paperback)
Language: English
Published by Independently Published, 2025
- Softcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 19.49
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Add to basketItem description from seller
Paperback. Natural Language Processing for Computer Vision: Unlocking Multimodal AI ApplicationsThis book offers a comprehensive and practical guide to the fast-growing intersection of Natural Language Processing (NLP) and Computer Vision. As multimodal AI becomes essential for real-world applications-ranging from image captioning to visual question answering and autonomous systems-understanding how language and vision models work together is critical for today's AI developers, researchers, and enthusiasts.In Natural Language Processing for Computer Vision, you'll explore the foundations and advanced techniques that power modern multimodal systems. From pretrained transformers and vision-language models to building custom pipelines and fine-tuning strategies, this book covers the essential tools, libraries, and hands-on projects that help bring intelligent visual-linguistic systems to life.Blending theory with application, this book walks you through step-by-step implementations of real-world tasks like image captioning, visual search, and vision-based question answering. You'll gain insights into pretrained multimodal models like CLIP, BLIP, and Flamingo, while learning how to fine-tune them on your own datasets. With a strong focus on interpretability, ethical AI, and resource optimization, the book not only teaches how to build systems but also how to build them responsibly.Key Features of This BookEnd-to-end coverage of multimodal AI: vision, language, and their integrationPractical implementation using Hugging Face, PyTorch, and TensorFlowStep-by-step projects including image captioning, VQA, and model fine-tuningDiscussions on zero-shot learning, prompt engineering, and attention mechanismsEthical AI insights: fairness, bias mitigation, and responsible deploymentFuture-focused chapters on robotics, vision-language agents, and emerging techThis book is ideal for data scientists, machine learning engineers, AI researchers, and graduate students who want to dive into multimodal AI. If you're already familiar with either NLP or computer vision and want to explore how they combine, this book is your go-to resource.Unlock the full potential of multimodal AI by mastering the fusion of language and vision. Whether you're building smart assistants, content moderation tools, or next-gen robotics, Natural Language Processing for Computer Vision equips you with the skills and insights to innovate with confidence. Start your journey into the future of AI-get your copy today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Seller Inventory # 9798287446925
- Title
- Natural Language Processing for Computer Vision (Paperback)
- Author
- Thomas Strader
- Publisher
- Independently Published
- Publication year
- 2025
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798287446925
Natural Language Processing for Computer Vision: Unlocking Multimodal AI Applications
This book offers a comprehensive and practical guide to the fast-growing intersection of Natural Language Processing (NLP) and Computer Vision. As multimodal AI becomes essential for real-world applications—ranging from image captioning to visual question answering and autonomous systems—understanding how language and vision models work together is critical for today’s AI developers, researchers, and enthusiasts.
In Natural Language Processing for Computer Vision, you’ll explore the foundations and advanced techniques that power modern multimodal systems. From pretrained transformers and vision-language models to building custom pipelines and fine-tuning strategies, this book covers the essential tools, libraries, and hands-on projects that help bring intelligent visual-linguistic systems to life.
Blending theory with application, this book walks you through step-by-step implementations of real-world tasks like image captioning, visual search, and vision-based question answering. You’ll gain insights into pretrained multimodal models like CLIP, BLIP, and Flamingo, while learning how to fine-tune them on your own datasets. With a strong focus on interpretability, ethical AI, and resource optimization, the book not only teaches how to build systems but also how to build them responsibly.
Key Features of This Book-
End-to-end coverage of multimodal AI: vision, language, and their integration
-
Practical implementation using Hugging Face, PyTorch, and TensorFlow
-
Step-by-step projects including image captioning, VQA, and model fine-tuning
-
Discussions on zero-shot learning, prompt engineering, and attention mechanisms
-
Ethical AI insights: fairness, bias mitigation, and responsible deployment
-
Future-focused chapters on robotics, vision-language agents, and emerging tech
This book is ideal for data scientists, machine learning engineers, AI researchers, and graduate students who want to dive into multimodal AI. If you’re already familiar with either NLP or computer vision and want to explore how they combine, this book is your go-to resource.
Unlock the full potential of multimodal AI by mastering the fusion of language and vision. Whether you're building smart assistants, content moderation tools, or next-gen robotics, Natural Language Processing for Computer Vision equips you with the skills and insights to innovate with confidence. Start your journey into the future of AI—get your copy today.
"Synopsis" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
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