Images have become ubiquitous in web services, social networks, and web stores. In contrast to humans, computers have great difficulty in understanding what is in the image and what it represents. In this chapter, we'll first look at the challenges behind teaching computers how to understand images, and then focus on an approach based on deep learning. We'll look at a high-level theory thats required to configure a deep learning model and discuss how to implement a model that is able to classify images using a Java library, Deeplearning4j.

This chapter will cover the following topics:

• Introducing image recognition
• Discussing deep learning fundamentals
• Building an image recognition model