Designing efficient CNN algorithms for the Bionic Eyeglass by combining manual and automatic techniques

Programs for the CNN-UM can be designed either manually or automatically. These two approaches have complementary advantages and disadvantages, and hence neither of them can be considered as the better choice. In this paper, we find empirical evidence that these two techniques can be combined in order to obtain more effective and efficient algorithms.