Chapter 8. Image Recognition with Deeplearning4j
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 does it represent. In this chapter, we'll first look at the challenges required to teach computers how to understand images, and then focus on an approach based on deep learning. We'll look at a high-level theory 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
Introducing image recognition
A typical goal of image recognition is to detect and identify an object in a digital image. Image recognition is applied in factory automation to monitor product quality; surveillance systems to identify potentially...
