Artículo: AMZ-B0FWRQTN92

Practical On Device AI: Build Fast, Secure, and Intelligent Mobile Apps with TensorFlow Lite and ML Kit: A Developer’s Guide to Deploying Machine Learning Tools

Format:

Kindle

Hardcover

Kindle

Paperback

Detalles del producto
Disponibilidad
Sin stock
Peso con empaque
0.20 kg
Devolución
No
Condición
Nuevo
Producto de
Amazon
Viaja desde
USA

Sobre este producto
  • Unlock the power of On-Device AI and bring real intelligence directly into your mobile apps no cloud required. Practical On-Device AI is your complete, hands-on guide to building fast, private, and scalable machine learning experiences that run natively on Android and iOS.Written for developers, engineers, and AI enthusiasts, this book walks you step by step through creating production-ready mobile applications powered by TensorFlow Lite, ML Kit, and modern deployment tools. You’ll learn how to design, optimize, and integrate models that detect objects, understand speech, process images, and personalize user experiences all while keeping data secure and latency near zero.Inside, you’ll discover how to:Convert, compress, and deploy TensorFlow and PyTorch models for mobile inference.Integrate Google ML Kit features like text recognition, face detection, pose estimation, and custom model inference.Optimize AI apps for performance, battery life, and offline use.Leverage hardware acceleration (GPU, DSP, and NNAPI) for lightning-fast results.Combine native mobile code with AI workflows using Kotlin, Swift, and Flutter.With practical projects, clear explanations, and real-world case studies, Practical On-Device AI helps you go beyond theory to build apps that think, adapt, and respond intelligently right in your users’ hands.Whether you’re developing your first AI-powered app or looking to bring existing models on-device, this book gives you everything you need to create the next generation of fast, private, and intelligent mobile experiences.Perfect for: Mobile developers, AI engineers, machine learning students, and innovators who want to push the boundaries of what’s possible on phones and edge devices.

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