In this project, we will show a step-by-step example of developing real-life ML projects for image classification using Scala and CNN. One such image data source is Yelp, where there are many photos and many users uploading photos. These photos provide rich local business information across categories. Thus, using these photos, developing an ML application by understanding the context of these photos is not an easy task. We will see how to use the DL4j platform to do so using Java. However, some theoretical background is a prior mandate before we start formally.
Before we start developing the end-to-end project for image classification using CNN, let's take a look at the drawbacks of regular DNNs. Although regular DNNs work fine for small images (for example, MNIST and CIFAR-10), it breaks down for large-scale and high-quality images...
