ISBN: 9798297460553 - hands-on tensorflow.js, keras & react: create modern web apps with ai and deep learning (6 resultados)

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 43,96
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Taschenbuch. Condición: Neu. Neuware - Hands-On TensorFlow.js, Keras & React: Create Modern Web Apps with AI and Deep LearningDoes AI feel out of reach-too complex, too math-heavy, or 'only for Python pros' This beginner-friendly guide shows you how to build smart, interactive web apps in the browser using tools you already love: JavaScript, TensorFlow.js (with Keras-style APIs), and React. No prior AI experience required. If you can follow step-by-step instructions, you can ship your first browser-based AI feature with confidence.You'll learn by doing-moving from plain-English explanations to small, focused projects you can click, see, and improve. Along the way, you'll discover why on-device inference matters for privacy and speed, how to wire models cleanly into React components, and how to deliver production-ready UX with loading, empty, and error states that feel polished and humane.What you'll build and understand- AI in the browser, explained simply: Tensors, layers, training vs. inference, transfer learning-without drowning in theory.- TensorFlow.js + Keras workflow: Load, fine-tune, and run models with clear, Keras-style APIs.- Real projects: Image classification (MobileNet), a simple sentiment analyzer, and live webcam demos-customizable and ready to extend.- React integration that feels natural: Hooks, lazy loading, caching hints, and clean state for predictions and UI feedback.- Performance & deployment: WebGL/WASM backends, model size optimization, quantization, and PWA packaging for fast, offline-capable apps.- Responsible by design: Practical tips for accessible UI, user privacy, and basic model security in the browser.Why beginners succeed with this book- Step-by-step guidance that explains the why behind each step.- Mistakes welcomed: We debug together; every bump becomes a small win.- Modern stack, real results: JavaScript + React + TensorFlow.js means less setup, more building.Who it's forCurious beginners, web developers, and JS learners who want practical machine learning in JavaScript-without switching stacks. Python folks looking to bring models to the web will feel right at home with the Keras-style approach.Ready to build something smart-today Open the book, follow the steps, and launch your first intelligent React app. Your AI journey starts in the browser.…

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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 30,54
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Paperback. Condición: new. Paperback. Hands-On TensorFlow.js, Keras & React: Create Modern Web Apps with AI and Deep LearningDoes AI feel out of reach-too complex, too math-heavy, or "only for Python pros"? This beginner-friendly guide shows you how to build smart, interactive web apps in the browser using tools you already love: JavaScript, TensorFlow.js (with Keras-style APIs), and React. No prior AI experience required. If you can follow step-by-step instructions, you can ship your first browser-based AI feature with confidence.You'll learn by doing-moving from plain-English explanations to small, focused projects you can click, see, and improve. Along the way, you'll discover why on-device inference matters for privacy and speed, how to wire models cleanly into React components, and how to deliver production-ready UX with loading, empty, and error states that feel polished and humane.What you'll build and understandAI in the browser, explained simply: Tensors, layers, training vs. inference, transfer learning-without drowning in theory.TensorFlow.js + Keras workflow: Load, fine-tune, and run models with clear, Keras-style APIs.Real projects: Image classification (MobileNet), a simple sentiment analyzer, and live webcam demos-customizable and ready to extend.React integration that feels natural: Hooks, lazy loading, caching hints, and clean state for predictions and UI feedback.Performance & deployment: WebGL/WASM backends, model size optimization, quantization, and PWA packaging for fast, offline-capable apps.Responsible by design: Practical tips for accessible UI, user privacy, and basic model security in the browser.Why beginners succeed with this bookStep-by-step guidance that explains the why behind each step.Mistakes welcomed: We debug together; every bump becomes a small win.Modern stack, real results: JavaScript + React + TensorFlow.js means less setup, more building.Who it's forCurious beginners, web developers, and JS learners who want practical machine learning in JavaScript-without switching stacks. Python folks looking to bring models to the web will feel right at home with the Keras-style approach.Ready to build something smart-today?Open the book, follow the steps, and launch your first intelligent React app. Your AI journey starts in the browser. 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: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 27,77
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Condición: New. Print on Demand.

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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. 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. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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Paperback. Condición: new. Paperback. Hands-On TensorFlow.js, Keras & React: Create Modern Web Apps with AI and Deep LearningDoes AI feel out of reach-too complex, too math-heavy, or "only for Python pros"? This beginner-friendly guide shows you how to build smart, interactive web apps in the browser using tools you already love: JavaScript, TensorFlow.js (with Keras-style APIs), and React. No prior AI experience required. If you can follow step-by-step instructions, you can ship your first browser-based AI feature with confidence.You'll learn by doing-moving from plain-English explanations to small, focused projects you can click, see, and improve. Along the way, you'll discover why on-device inference matters for privacy and speed, how to wire models cleanly into React components, and how to deliver production-ready UX with loading, empty, and error states that feel polished and humane.What you'll build and understandAI in the browser, explained simply: Tensors, layers, training vs. inference, transfer learning-without drowning in theory.TensorFlow.js + Keras workflow: Load, fine-tune, and run models with clear, Keras-style APIs.Real projects: Image classification (MobileNet), a simple sentiment analyzer, and live webcam demos-customizable and ready to extend.React integration that feels natural: Hooks, lazy loading, caching hints, and clean state for predictions and UI feedback.Performance & deployment: WebGL/WASM backends, model size optimization, quantization, and PWA packaging for fast, offline-capable apps.Responsible by design: Practical tips for accessible UI, user privacy, and basic model security in the browser.Why beginners succeed with this bookStep-by-step guidance that explains the why behind each step.Mistakes welcomed: We debug together; every bump becomes a small win.Modern stack, real results: JavaScript + React + TensorFlow.js means less setup, more building.Who it's forCurious beginners, web developers, and JS learners who want practical machine learning in JavaScript-without switching stacks. Python folks looking to bring models to the web will feel right at home with the Keras-style approach.Ready to build something smart-today?Open the book, follow the steps, and launch your first intelligent React app. Your AI journey starts in the browser. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…