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Intelligent Mobile Projects with TensorFlow

You're reading from  Intelligent Mobile Projects with TensorFlow

Product type Book
Published in May 2018
Publisher Packt
ISBN-13 9781788834544
Pages 404 pages
Edition 1st Edition
Languages
Author (1):
Jeff Tang Jeff Tang
Profile icon Jeff Tang
Toc

Table of Contents (14) Chapters close

Preface 1. Getting Started with Mobile TensorFlow 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

Core ML for iOS – an overview

Apple's Core ML framework (https://developer.apple.com/documentation/coreml) lets iOS developers easily use trained machine learning models in their iOS apps, running iOS 11 or above, and built with Xcode 9 or above. You can download and use pre-trained models, already in the Core ML format, offered by Apple at https://developer.apple.com/machine-learning, or use a Python tool called coremltools, the Core ML community tools, at https://apple.github.io/coremltools, to convert other machine learning and deep learning models to the Core ML format.

Pre-trained models in the Core ML format include the popular MobileNet and Inception V3 models, as well as the more recent ResNet50 model (we talked about residual networks briefly in Chapter 10, Building an AlphaZero-like Mobile Game App). Models that can be converted to the Core ML format include...

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