In this section, we will put our model to work in an intelligent search application; we'll start off by quickly introducing the application, giving us a clear vision of what we intend to build. Then, we'll work through implementing the functionality related to interpreting the model's output and search heuristic for the desired functionality. We will be omitting a lot of the usual iOS functionality so that we can stay focused on the intelligent aspect of the application.
Over the past few years, we have seen a surge of intelligence being embedded in photo gallery applications, providing us with efficient ways of surfacing those cat photos hidden deep in hundreds (if not thousands) of photos we have accumulated over the years. In this section, we want to continue with this theme but push that level of intelligence a little bit further by taking advantage of the semantic information gained through object detection. Our users will be able to search for not only...