Intelligent Mobile Projects with TensorFlow: Build 10 Wide-Ranging Apps with TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

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
	Using 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
	Summary
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 models
		Optimizing the transformed model
	Using the image captioning model in iOS
	Using the image captioning model in Android
	Summary
Chapter 7: Recognizing Drawing with CNN and LSTM
	Drawing classification – how it works
	Training, predicting, and preparing the drawing classification model
		Training the drawing classification model
		Predicting with the drawing classification model
		Preparing the drawing classification model
	Using the drawing classification model in iOS
		Building custom TensorFlow library for iOS
		Developing an iOS app to use the model
	Using the drawing classification model in Android
		Building custom TensorFlow library for Android
		Developing an Android app to use the model
	Summary
Chapter 8: Predicting Stock Price with RNN
	RNN and stock price prediction – what and how
	Using the TensorFlow RNN API for stock price prediction
		Training an RNN model in TensorFlow
		Testing the TensorFlow RNN model 
	Using the Keras RNN LSTM API for stock price prediction
		Training an RNN model in Keras
		Testing the Keras RNN model 
	Running the TensorFlow and Keras models on iOS
	Running the TensorFlow and Keras models on Android
	Summary
Chapter 9: Generating and Enhancing Images with GAN
	GAN – what and why
	Building and training GAN models with TensorFlow
		Basic GAN model of generating handwritten digits
		Advanced GAN model of enhancing image resolution
	Using the GAN models in iOS
		Using the basic GAN model
		Using the advanced GAN model
	Using the GAN models in Android
		Using the basic GAN model
		Using the advanced GAN model
	Summary
Chapter 10: Building an AlphaZero-like Mobile Game App
	AlphaZero – how does it work?
	Training and testing an AlphaZero-like model for Connect 4
		Training the model
		Testing the model
		Looking into the model-building code
		Freezing the model
	Using the model in iOS to play Connect 4
	Using the model in Android to play Connect 4
	Summary
Chapter 11: Using TensorFlow Lite and Core ML on Mobile
	TensorFlow Lite – an overview
	Using TensorFlow Lite in iOS
		Running the example TensorFlow Lite iOS apps
		Using a prebuilt TensorFlow Lite model in iOS
		Using a retrained TensorFlow model for TensorFlow Lite in iOS
		Using a custom TensorFlow Lite model in iOS
	Using TensorFlow Lite in Android
	Core ML for iOS – an overview
	Using Core ML with Scikit-Learn machine learning 
		Building and converting the Scikit Learn models
		Using the converted Core ML models in iOS
	Using Core ML with Keras and TensorFlow
	Summary
Chapter 12: Developing TensorFlow Apps on Raspberry Pi
	Setting up Raspberry Pi and making it move
		Setting up Raspberry Pi 
		Making Raspberry Pi move
	Setting up TensorFlow on Raspberry Pi
	Image recognition and text to speech
	Audio recognition and robot movement
	Reinforcement learning on Raspberry Pi
		Understanding the CartPole simulated environment
		Starting with basic intuitive policy 
		Using neural networks to build a better policy
	Summary
	Final words
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Index