Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Intelligent Mobile Projects with TensorFlow

You're reading from   Intelligent Mobile Projects with TensorFlow Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

Arrow left icon
Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788834544
Length 404 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Jeff Tang Jeff Tang
Author Profile Icon Jeff Tang
Jeff Tang
Arrow right icon
View More author details
Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started with Mobile TensorFlow FREE CHAPTER 2. Classifying Images with Transfer Learning 3. Detecting Objects and Their Locations 4. Transforming Pictures with Amazing Art Styles 5. Understanding Simple Speech Commands 6. Describing Images in Natural Language 7. Recognizing Drawing with CNN and LSTM 8. Predicting Stock Price with RNN 9. Generating and Enhancing Images with GAN 10. Building an AlphaZero-like Mobile Game App 11. Using TensorFlow Lite and Core ML on Mobile 12. Developing TensorFlow Apps on Raspberry Pi 13. Other Books You May Enjoy

Setting up Xcode

Xcode is used to develop iOS apps and you need a Mac computer and a free Apple ID to download and install it. If your Mac is relatively older and with OS X El Capitan (version 10.11.6), you can download Xcode 8.2.1 at https://developer.apple.com/download/more. Or if you have macOS Sierra (version 10.12.6) or later, installed, you can download Xcode 9.2 or 9.3, the latest version as of May 2018, from the preceding link. All the iOS apps in the book have been tested in both Xcode 8.2.1, 9.2, and 9.3.

To install Xcode, simply double-click the downloaded file and follow the steps on the screen. It's pretty straightforward. You can now run apps on the iOS simulator that comes with Xcode or your own iOS device. Starting Xcode 7, you can run and debug your iOS apps on an iOS device for free, but if you want to distribute or publish your apps, you need to enroll in the Apple Developer Program for $99 a year as an individual: https://developer.apple.com/programs/enroll.

Although you can test run many apps in the book with the Xcode simulator, some apps in the book require the camera on your actual iOS device to take a picture before processing it with a deep learning model trained with TensorFlow. In addition, it's generally better to test a model on an actual device for accurate performance and memory usage: a model that runs fine in the simulator may crash or run too slow in an actual device. So it's strongly recommended or required that you test and run the iOS apps in the book on your actual iOS device at least once, if not always.

This book assumes you're comfortable with iOS programming, but if you're new to iOS development, you can learn from many excellent online tutorials such as the iOS tutorials by Ray Wenderlich (https://www.raywenderlich.com). We won't cover complicated iOS programming; we'll mainly show you how to use the TensorFlow C++ API in our iOS apps to run the TensorFlow trained models to perform all kinds of intelligent tasks. Both Objective-C and Swift code, the two official iOS programming languages from Apple, will be used to interact with the C++ code in our mobile AI apps.

You have been reading a chapter from
Intelligent Mobile Projects with TensorFlow
Published in: May 2018
Publisher: Packt
ISBN-13: 9781788834544
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image