Malcolm’s Status Update for 10/10/20

This week I spent time on an initial edge detection schema and managing the public datasets that we will be leveraging. This edge detection is fairly basic; it essentially uses Canny edge detection. The big issue with our edge detection is that we have no formal way of testing the efficiency of the edge detection. We would need to observe changes in the neural net in order to better tune the edge detection, so our approach to it is best-effort. Otherwise, I have made progress in identifying and creating frameworks for standardizing the data we need. Since our neural net is learning from three different data sets, it’s important to standardize them as much as possible. My goal for the coming week is to have the data standardized and to start experimenting with initial architectures for the neural net.