DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit
Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Claudio Forlivesi, Fahim Kawsar · 2016
Deep learning is having a transformative effect on how sensor data are processed and interpreted. As a result, it is becoming increasingly feasible to build sensor-based computational models that are much more robust to real-world noise and complexity than previously possible. It is paramount that t