Optimization of YOLOv3 Inference Engine for Edge Device
碩士 === 國立成功大學 === 電機工程學系 === 107 === For neural networks used in low-end edge devices, there are several approaches to dealing with, such that compressing model, quantifying model and designing hardware accelerators. However, the number of parameters of the current NN (neural network) models is incr...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/7kj82c |