More talks in the program:
12:00 - 13:00
During the development of a Deep Learning (DL) focused Android App, we were able to build up a lot of knowledge and experience. In this talk we will share our learnings organizing the development of an App using DL to save you some headaches during this process. We talk about whether a deep learning approach is the right way or maybe a more traditional approach is sufficient enough to achieve the goal. The process and best practices we found useful to collect, organize and label the required data for training our models will also be outlined. At last we will talk about how it all comes together to ship a production ready and efficient Android App using the Google TensorFlow API.