Fingerprint
Dive into the research topics of 'A 47.4µJ/epoch trainable deep convolutional neural network accelerator for in-situ personalization on smart devices'. Together they form a unique fingerprint.- Sort by
- Weight
- Alphabetically
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee Sup Kim
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review