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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

Using a simple speech recognition model in iOS with Objective-C

If you have gone through the iOS apps in the previous three chapters, you'd probably prefer using the manually-built TensorFlow iOS library to the TensorFlow experimental pod, as with the manual library method, you have more control on what TensorFlow operations can be added to make your models happy, and this better control is also one of the reasons we decided to focus on TensorFlow Mobile instead of TensorFlow Lite in Chapter 1, Getting Started with Mobile TensorFlow.

So although you can try to use the TensorFlow pod by the time you read the book to see whether the pod has been updated to support all the ops used in the model, we'll from now on always use the manually-built TensorFlow libraries (see steps 1 and 2 of the Using object detection models in iOS section in Chapter 3, Detecting Objects and Their...

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