Isbn: 9798294175467 - learning onnx made easy: deploy machine learning models anywhere (4 risultati)

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  • Lingua: Inglese

    Editore: Independently published, 2025

    9798294175467

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    Da: California Books, Miami, FL, U.S.A.California Books

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    Condizione: Nuovo

    EUR 24,83

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    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798294175467

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    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    EUR 26,10

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    PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798294175467

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    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    Condizione: Nuovo

    EUR 27,85

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    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. Learning ONNX Made Easy: Deploy Machine Learning Models AnywhereFeeling overwhelmed by machine learning? Intimidated by code, frameworks, or the idea of "deployment"? You're not alone - and you're not too late to start. This book is your gentle, confidence-boosting guide to unlocking the power of ONNX (Open Neural Network Exchange) without needing a tech degree or years of experience.Learning ONNX Made Easy is designed for true beginners - curious minds who want to explore machine learning, deploy real models, and gain practical tech skills, all without getting lost in jargon or complexity. Whether you're a student, career changer, or lifelong learner, this book makes a powerful promise: You can learn to deploy machine learning models anywhere - and enjoy the process.What makes this book different? No tech background required. Friendly explanations, clear examples, and zero assumptions. You'll feel guided, not lectured. Step-by-step projects. Learn by doing - from converting models to running them on different platforms, you'll build confidence with every chapter. Real-world applications. See how ONNX powers everything from mobile apps to cloud services - and how you can use it in your own projects. Mistakes welcome. We normalize frustration and celebrate small wins. Every misstep is a learning step. No shame, just support. Simple visuals & plain English. Because understanding is better than memorizing. Every concept is broken down into bite-sized, visual lessons. Keywords like ONNX, machine learning deployment, model conversion, edge computing, and cross-platform AI are woven naturally - helping you build not just skills, but tech fluency.By the end of this book, you'll: Understand what ONNX is and why it matters in today's AI-driven worldConvert models from popular frameworks like PyTorch or TensorFlow to ONNX with easeDeploy models across platforms - cloud, edge, web, and mobileGain real-world, job-ready skills you can actually useFeel proud of your progress - and excited to keep learningLearning ONNX Made Easy isn't just a book. It's a mentor, a cheerleader, and a roadmap - all rolled into one. If you've ever said, "I wish I could learn tech, but I don't know where to start," this is your sign.Your journey doesn't have to be hard. It just has to begin.Start now - and let this book walk beside you every step of the way. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798294175467

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    • Print on Demand

    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    Condizione: Nuovo

    EUR 28,03

    EUR 43,79 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. Learning ONNX Made Easy: Deploy Machine Learning Models AnywhereFeeling overwhelmed by machine learning? Intimidated by code, frameworks, or the idea of "deployment"? You're not alone - and you're not too late to start. This book is your gentle, confidence-boosting guide to unlocking the power of ONNX (Open Neural Network Exchange) without needing a tech degree or years of experience.Learning ONNX Made Easy is designed for true beginners - curious minds who want to explore machine learning, deploy real models, and gain practical tech skills, all without getting lost in jargon or complexity. Whether you're a student, career changer, or lifelong learner, this book makes a powerful promise: You can learn to deploy machine learning models anywhere - and enjoy the process.What makes this book different? No tech background required. Friendly explanations, clear examples, and zero assumptions. You'll feel guided, not lectured. Step-by-step projects. Learn by doing - from converting models to running them on different platforms, you'll build confidence with every chapter. Real-world applications. See how ONNX powers everything from mobile apps to cloud services - and how you can use it in your own projects. Mistakes welcome. We normalize frustration and celebrate small wins. Every misstep is a learning step. No shame, just support. Simple visuals & plain English. Because understanding is better than memorizing. Every concept is broken down into bite-sized, visual lessons. Keywords like ONNX, machine learning deployment, model conversion, edge computing, and cross-platform AI are woven naturally - helping you build not just skills, but tech fluency.By the end of this book, you'll: Understand what ONNX is and why it matters in today's AI-driven worldConvert models from popular frameworks like PyTorch or TensorFlow to ONNX with easeDeploy models across platforms - cloud, edge, web, and mobileGain real-world, job-ready skills you can actually useFeel proud of your progress - and excited to keep learningLearning ONNX Made Easy isn't just a book. It's a mentor, a cheerleader, and a roadmap - all rolled into one. If you've ever said, "I wish I could learn tech, but I don't know where to start," this is your sign.Your journey doesn't have to be hard. It just has to begin.Start now - and let this book walk beside you every step of the way. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …