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ROS Robotics Projects

You're reading from   ROS Robotics Projects Make your robots see, sense, and interact with cool and engaging projects with Robotic Operating System

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781783554713
Length 452 pages
Edition 1st Edition
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Author (1):
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Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with ROS Robotics Application Development FREE CHAPTER 2. Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos 3. Building a Siri-Like Chatbot in ROS 4. Controlling Embedded Boards Using ROS 5. Teleoperate a Robot Using Hand Gestures 6. Object Detection and Recognition 7. Deep Learning Using ROS and TensorFlow 8. ROS on MATLAB and Android 9. Building an Autonomous Mobile Robot 10. Creating a Self-Driving Car Using ROS 11. Teleoperating a Robot Using a VR Headset and Leap Motion 12. Controlling Your Robots over the Web

Getting started with TensorFlow


As we discussed, TensorFlow is an open source library mainly designed for fast numerical computing. This library mainly works with Python and was released by Google. TensorFlow can be used as a foundation library to create deep learning models.

We can use TensorFlow both for research and development and in production systems. The good thing about TensorFlow is it can run on a single CPU all the way to a large-scale distributed system of hundreds of machines. It also works well on GPUs and mobile devices.

You can check out the Tensorflow library at the following link:

https://www.tensorflow.org/

Installing TensorFlow on Ubuntu 16.04 LTS

Installing TensorFlow is not a tedious task if you have a fast Internet connection. The main tool we need to have is pip. It is a package management system used to install and manage software packages written in Python.

Note

You may get latest installation instruction for Linux from following link: https://www.tensorflow.org/install...

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