Intelligent Mobile Projects with TensorFlow : Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi.

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Chapter 6: Describing Images in Natural Language; Image captioning - how it works; Training and freezing an image captioning model; Training and testing caption generation; Freezing the image captioning model; Transforming and optimizing the image captioning model; Fixing errors with transformed mod...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Tang, Xiaofei ""Jeff""
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2018.
Temas:
Raspberry Pi > Programming.
GAMES > Board.
Acceso en línea:Texto completo
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 appUsing 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 manuallyUsing 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 iOSUsing the TensorFlow Magenta multi-style model in Android; Summary; Chapter 5: Understanding Simple Speech Commands; Speech recognition
  • a quick overview; Training a simple commands recognition model; Using a simple speech recognition model in Android; Building a new app using the model; Showing model-powered recognition results; Using a simple speech recognition model in iOS with Objective-C; Building a new app using the model; Fixing model-loading errors with tf_op_files.txt; Using a simple speech recognition model in iOS with Swift.

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