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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

Setting up Raspberry Pi and making it move

The series of small, single-board Raspberry Pi computers include Raspberry Pi 3 B+, 3 B, 2B, 1 B+, 1 A+, Zero, and Zero W (for detailed info see https://www.raspberrypi.org/products/#buy-now-modal). We'll use the Pi 3 B motherboard here, which you can purchase for about $35 from the preceding link or on Amazon (https://www.amazon.com/gp/product/B01CD5VC92). Accessories that we have used and tested with the board with their prices are as follows:

  • CanaKit 5V 2.5A Raspberry Pi Power Supply for about $10 (https://www.amazon.com/gp/product/B00MARDJZ4) to use during development.
  • Kinobo - USB 2.0 Mini Microphone for about $4 (https://www.amazon.com/gp/product/B00IR8R7WQ) to record your voice commands.
  • USHONK USB Mini Speaker for about $12 (https://www.amazon.com/gp/product/B075M7FHM1) to play a synthesized voice.
  • Arducam 5 Megapixels 1080p...
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