Applying Artificial Intelligence on Edge devices using Deep learninG with Embedded optimizations KU Leuven
In Deep Learning, an algorithm is developed on a large set of data, typically on a compute server. Then the trained network is loaded into an application that works with the real data. This step is called 'inference'. However, Inference does not need to be applied to the computer system used for the training. This makes it possible to apply deep learning to systems that are less powerful, more energy efficient and less dependent on a network. ...