Tabla de Contenidos: “…Generating the static bundle in iOSTesting the static bundle in iOS; Creating an iOS release in Xcode; Generating the Android APK; Summary; Index…”

Materias: “…Android (Electronic resource)…”

Materias: “…Android (Electronic resource)…”

Materias: “…Android (Electronic resource)…”

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Tabla de Contenidos:

Tabla de Contenidos: “…Cover -- Copyright and Credits -- Dedication -- Packt Upsell -- Foreword -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with Mobile TensorFlow -- Setting up TensorFlow -- Setting up TensorFlow on MacOS -- Setting up TensorFlow on GPU-powered Ubuntu -- Setting up Xcode -- Setting up Android Studio -- TensorFlow Mobile vs TensorFlow Lite -- Running sample TensorFlow iOS apps -- Running sample TensorFlow Android apps -- Summary -- Chapter 2: Classifying Images with Transfer Learning -- Transfer learning - what and why -- Retraining using the Inception v3 model -- Retraining using MobileNet models -- Using the retrained models in the sample iOS app -- Using the retrained models in the sample Android app -- Adding TensorFlow to your own iOS app -- Adding TensorFlow to your Objective-C iOS app -- Adding TensorFlow to your Swift iOS app -- Adding TensorFlow to your own Android app -- Summary -- Chapter 3: Detecting Objects and Their Locations -- Object detection-a quick overview -- Setting up the TensorFlow Object Detection API -- Quick installation and example -- Using pre-trained models -- Retraining SSD-MobileNet and Faster RCNN models -- Using object detection models in iOS -- Building TensorFlow iOS libraries manually -- Using TensorFlow iOS libraries in an app -- Adding an object detection feature to an iOS app -- Using YOLO2-another object-detection model -- Summary -- Chapter 4: Transforming Pictures with Amazing Art Styles -- Neural Style Transfer - a quick overview -- Training fast neural-style transfer models -- Using fast neural-style transfer models in iOS -- Adding and testing with fast neural transfer models -- Looking back at the iOS code using fast neural transfer models -- Using fast neural-style transfer models in Android -- Using the TensorFlow Magenta multi-style model in iOS…”

Materias: “…Android (Sistema operatiu) TFG…”
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Materias: Acceso desde Summa al vídeo
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Materias: “…Android (Electronic resource)…”

Materias: “…Android (Electronic resource)…”

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“…And what’s more, MonoGame is designed for maximum cross-platform support, so once you’ve mastered the fundamentals in this book, you’ll be ready to explore and publish games on a wide range of platforms including Windows 8, MAC OSX, Windows Phone, iOS, Android, and Playstation Mobile. Whether you're starting a new hobby or considering a career in game development, Learn 2D Game Development with C# is the ideal place to start…”

Tabla de Contenidos: “…. -- Chapter 8: Anko Commons and Extension Function -- Introduction -- Setting up Anko with Gradle -- Getting ready -- How to do it... -- Extending Android framework using extension function -- Getting ready…”

Tabla de Contenidos: “…Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter: Build scalable real-world projects to implement end-to-end neural networks on Android and iOS…”

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Materias: “…Android (Electronic resource)…”