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Mobile Artificial Intelligence Projects

You're reading from   Mobile Artificial Intelligence Projects Develop seven projects on your smartphone using artificial intelligence and deep learning techniques

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789344073
Length 312 pages
Edition 1st Edition
Languages
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Authors (3):
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Arun Padmanabhan Arun Padmanabhan
Author Profile Icon Arun Padmanabhan
Arun Padmanabhan
Karthikeyan NG Karthikeyan NG
Author Profile Icon Karthikeyan NG
Karthikeyan NG
Matt Cole Matt Cole
Author Profile Icon Matt Cole
Matt Cole
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Toc

Table of Contents (12) Chapters Close

Preface 1. Artificial Intelligence Concepts and Fundamentals FREE CHAPTER 2. Creating a Real-Estate Price Prediction Mobile App 3. Implementing Deep Net Architectures to Recognize Handwritten Digits 4. Building a Machine Vision Mobile App to Classify Flower Species 5. Building an ML Model to Predict Car Damage Using TensorFlow 6. PyTorch Experiments on NLP and RNN 7. TensorFlow on Mobile with Speech-to-Text with the WaveNet Model 8. Implementing GANs to Recognize Handwritten Digits 9. Sentiment Analysis over Text Using LinearSVC 10. What is Next? 11. Other Books You May Enjoy

Building the iOS application

Let's start building the iOS application with the model that was built in the previous step. The model will predict the output according to whether the input text is positive, neutral, or negative in nature.

To build this application, Xcode version 10.1 should be used:

  1. Create a new project with a Single View app, as illustrated in the following screenshot:
  1. Mention the name of our application on the Next screen.
  2. On the next wizard screen, pick an appropriate name for your application.
  3. Fill in the rest of the fields, including Organization Name, as well as Organization Identifier.
  4. We are not going to use core data in this application, so let's skip that option.
  5. Let's start by creating a new app in Xcode. The following screenshot demonstrates how to create a new project in Xcode:
  1. Next, create a storyboard, as shown in the following...
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