Intelligent Mobile Projects with TensorFlow by Tang, Jeff -- Read -- Imperial Library of Trantor

Index

Title Page Copyright and Credits

Intelligent Mobile Projects with TensorFlow

Dedication Packt Upsell

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Foreword Contributors

About the author About the reviewers Packt is searching for authors like you

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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