In the previous chapter, we focused on supervised learning and unsupervised learning, and learned about the different types of learning algorithms. In this chapter, we will get introduced to TensorFlow for mobile, and go through a sample program implementation using TensorFlow for mobile. In Chapter 9, Neural Networks on Mobile, we will be using it to implement a classification algorithm. But we need to understand how TensorFlow for mobile works and be able to write samples using it before we can implement machine learning algorithms with it. The objective of this chapter is to get introduced to TensorFlow, TensorFlow Lite, TensorFlow for mobile, and their ways of working, and to try hands-on examples using TensorFlow for mobile in Android.

In this chapter, we will cover the following topics:

• An introduction to TensorFlow, TensorFlow Lite, and TensorFlow for mobile
• The components of TensorFlow for mobile
• The architecture of a mobile machine learning application
• Building a sample program using TensorFlow for mobile in Android

By the end of this chapter, you will know how to build an application using TensorFlow for mobile in Android. We will walk through using it in order to implement a classification algorithm in Chapter 9, Neural Networks on Mobile.