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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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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

Introduction to Computer Vision

Computer Vision can be defined as the subset of AI where we can teach a computer to see. We cannot just add a camera to a machine in order for it to see. For a machine to actually view the world like people or animals do, it relies on Computer Vision and image recognition techniques. Reading barcodes and face recognition are examples of Computer Vision. Computer Vision can be described as that part of the human brain that processes the information that's perceived by the eyes, nothing else.

Image recognition is one of the interesting uses of Computer Vision from an AI standpoint. The input that is received through Computer Vision on the machine is interpreted by the image recognition system, and based on what it sees, the output is classified.

In other words, we use our eyes to capture the objects around us, and those objects/images are processed...

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