Intelligent Mobile Projects with TensorFlow电子书

Title Page

Copyright and Credits

Intelligent Mobile Projects with TensorFlow

Dedication

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Foreword

Contributors

About the author

About the reviewers

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Preface

Who this book is for

What this book covers

To get the most out of this book

When to read the book

Download the example code files

Conventions used

Get in touch

Reviews

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

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

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

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

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

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

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

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

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

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

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

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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