A Must-See List of TensorFlow Examples

TensorFlow can become for machine learning what is OpenCV for computer vision and ROS as a robot operating system. Machine learning is getting more and more attractive to the public, and impressive results are not to be expected.

TensorFlow is an open-source library developed by Google and launched in 2015 for the general public. Ever since it was launched to be used by anyone who wants to work with artificial intelligence, the library broke all the records in terms of projects on GitHub.

Read now the best books to learn TensorFlow:

Hands-On Machine Learning with Scikit-Learn and TensorFlow
TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms
TensorFlow Machine Learning Cookbook

Returning to Google products, TensorFlow has a special place in the company’s projects, including Google Search, YouTube, Google Translate, Gmail, and more. Since the library is a very important resource of intelligence, in this article I made a list of examples using TensorFlow to do robotics applications. Furthermore, some of these examples are made by amateurs in the field of artificial intelligence.

    • Object Recognizing Robot from $100 of Parts and TensorFlow
      In this tutorial, Lukas Biewald used an ordinary 4WD platform for building a robot capable of detecting objects. The main components of the project are the camera, the Raspberry Pi board, and of course the TensorFlow library. The whole project cost around $100.
  • Fully autonomous pi bot
    The concept of self-driving cars has been around for years and is a hot subject in recent times. TensorFlow can be the basic library for this kind of project. In this example, Tawn Kramer uses a platform to track an interrupted line. The latest version of the project is a robot ready to run on its own.
  • TensorFlow powered cucumber sorter by Makoto Koike
    The industrial area may also be a field of use for TensorFlow. For example, sorting fruits and vegetables is a process that can be greatly simplified by using artificial intelligence. In the example below, TensorFlow is used to sort cucumbers.
  • Object recognition robot
    TensorFlow is very useful for recognizing objects. In this example, you can see how using the library, a camera, and a Raspberry Pi, you can detect up to 20,000 different objects.


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