Compression of Conditional Deep Learning Network for Fast and Low Power Mobile Applications
Lijie Li, Yan Zhang, Pengfei Wang
Available Online May 2017.
- https://doi.org/10.2991/icmeit-17.2017.33How to use a DOI?
- CDLN, one-shot whole network compression scheme, module size.
- CDLN(Conditional Deep Learning Network)is a structure of convolution neural network with multiple classifiers. CDLN could improve the speed for the task of classification while the module of the network is still too large for mobile devices. To address this issue, a method for compressing CDLN, which is named one-shot whole network compression scheme. In the experiments, the module size and time cost are significantly reduced while the accuracy of the network losses a little.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Lijie Li AU - Yan Zhang AU - Pengfei Wang PY - 2017/05 DA - 2017/05 TI - Compression of Conditional Deep Learning Network for Fast and Low Power Mobile Applications BT - 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017) PB - Atlantis Press SP - 183 EP - 186 SN - 2352-538X UR - https://doi.org/10.2991/icmeit-17.2017.33 DO - https://doi.org/10.2991/icmeit-17.2017.33 ID - Li2017/05 ER -