9798262006489 - practical deep learning with tensorflow 2, keras, tflite, and onnx: from model building to edge deployment de miles, dr. quinn (5 resultados)
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 27,85
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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Paperback. Condición: new. Paperback. Does the world of artificial intelligence feel out of reach? Worried deep learning is only for experts?You're not alone-and this book is your warm, patient guide into the future of AI, even if you've never written a line of code.Practical Deep Learning with TensorFlow 2, Keras, TFLite, and O…NNX was created for absolute beginners who want real, hands-on skills-not theory overload. Whether you dream of building smart apps, exploring image recognition, or deploying neural networks to mobile devices, you'll find step-by-step support at every stage.What Makes This Book Different?No Experience Needed: Every chapter starts from scratch, explaining deep learning, neural networks, and TensorFlow 2 in clear, friendly language. You don't need a technical background-just curiosity and a willingness to try.Gently Builds Confidence: Complex topics like model training, data preparation, and deployment are broken down into bite-sized steps. Mistakes are welcomed as learning moments, not failures.Practical, Project-Driven Learning: Build real-world machine learning models with Keras, optimize them for accuracy, and see your work come alive on real devices using TensorFlow Lite and ONNX.End-to-End Guidance: Go from "What is deep learning?" all the way to deploying AI on edge devices-with troubleshooting tips, cheat sheets, and supportive encouragement at every turn.Celebrates Your Progress: Every small win is a big deal here. You'll find stories, "aha!" moments, and practical advice that keep you motivated-no matter where you start.Inside, You'll Learn How To: Understand the foundations of deep learning and neural networksInstall and use TensorFlow 2, Keras, and related tools with easeBuild and train models for real-world tasks-image, sequence, and beyondPrepare data, avoid common pitfalls, and optimize for best resultsDeploy trained models to mobile and edge devices with TensorFlow LiteConvert and run models in other frameworks using ONNXTroubleshoot errors, experiment safely, and grow your AI skills with confidenceWho Is This Book For?Complete beginners in AI, coding, or data scienceStudents, hobbyists, and career-changers looking for an accessible entry pointAnyone who wants practical, modern skills in deep learning-without the overwhelmYou'll discover that AI isn't reserved for experts-it's for anyone willing to learn, experiment, and celebrate small victories along the way.Ready to unlock the power of deep learning, step by step?Open this book and start your coding journey today-your future self will thank you. 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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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 29,53
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Paperback. Condición: new. Paperback. Does the world of artificial intelligence feel out of reach? Worried deep learning is only for experts?You're not alone-and this book is your warm, patient guide into the future of AI, even if you've never written a line of code.Practical Deep Learning with TensorFlow 2, Keras, TFLite, and O…NNX was created for absolute beginners who want real, hands-on skills-not theory overload. Whether you dream of building smart apps, exploring image recognition, or deploying neural networks to mobile devices, you'll find step-by-step support at every stage.What Makes This Book Different?No Experience Needed: Every chapter starts from scratch, explaining deep learning, neural networks, and TensorFlow 2 in clear, friendly language. You don't need a technical background-just curiosity and a willingness to try.Gently Builds Confidence: Complex topics like model training, data preparation, and deployment are broken down into bite-sized steps. Mistakes are welcomed as learning moments, not failures.Practical, Project-Driven Learning: Build real-world machine learning models with Keras, optimize them for accuracy, and see your work come alive on real devices using TensorFlow Lite and ONNX.End-to-End Guidance: Go from "What is deep learning?" all the way to deploying AI on edge devices-with troubleshooting tips, cheat sheets, and supportive encouragement at every turn.Celebrates Your Progress: Every small win is a big deal here. You'll find stories, "aha!" moments, and practical advice that keep you motivated-no matter where you start.Inside, You'll Learn How To: Understand the foundations of deep learning and neural networksInstall and use TensorFlow 2, Keras, and related tools with easeBuild and train models for real-world tasks-image, sequence, and beyondPrepare data, avoid common pitfalls, and optimize for best resultsDeploy trained models to mobile and edge devices with TensorFlow LiteConvert and run models in other frameworks using ONNXTroubleshoot errors, experiment safely, and grow your AI skills with confidenceWho Is This Book For?Complete beginners in AI, coding, or data scienceStudents, hobbyists, and career-changers looking for an accessible entry pointAnyone who wants practical, modern skills in deep learning-without the overwhelmYou'll discover that AI isn't reserved for experts-it's for anyone willing to learn, experiment, and celebrate small victories along the way.Ready to unlock the power of deep learning, step by step?Open this book and start your coding journey today-your future self will thank you. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
