Natural language processing computer par strader thomas (3 résultats)
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-UniPBShop.store UK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 19,98
EUR 4,88 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail
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EUR 23,29
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : new. 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-rang…ing 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 multiple locations in the US or from the UK, depending on stock availability.
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Vendeur : CitiRetail, Stevenage, Royaume-UniCitiRetail
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 23,55
EUR 43,41 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : new. 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-rang…ing 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.
