DNN Model Compression for IoT Domain-Specific Hardware Accelerators

Machine learning techniques, particularly those based on neural networks, are always more often used at the edge of the network by Internet of Things (IoT) nodes. Unfortunately, the computation capabilities demanded by those applications, together with their energy efficiency-related constraints, exceed those exposed by embedded general-purpose processors. For this reason, the use of domain-specif...