You may have come across deep learning many times on the web. Most of us are not fully aware of this technology, and many people are trying to learn it too. So, in this chapter, we are going to see the importance of deep learning in robotics and how we can implement robotics applications using deep learning and ROS. We begin with understanding how deep learning works and is implemented, followed by a glimpse of commonly used tools and libraries for deep learning. We will learn to install TensorFlow for Python and embed TensorFlow APIs in ROS. We will learn to carry out image recognition using ROS and TensorFlow. Later, you will come across practical examples using these libraries and interfacing them with ROS. 

Here are the main topics we are going to discuss in this chapter:

• Introducing deep learning and its applications
• Deep learning for robotics
• Software frameworks and programming languages for deep learning
• Getting started with Google TensorFlow
• Installing TensorFlow for Python
• Embedding TensorFlow APIs in ROS
• Image recognition using ROS and TensorFlow
• Introduction to scikit-learn
• Implementing SVM using scikit-learn
• Embedding SVM on a ROS node
• Implementing an SVM-ROS application