Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3
CC BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s00521-023-08280-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/8271 |
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oai:localhost:PNK-82712023-04-25T03:49:26Z Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3 Tao, Li Yitao, Ma Tetsuo, Endoh DNNs DNNs’ superpower CC BY Deep neural networks (DNNs) have delivered unprecedented achievements in the modern Internet of Everything society, encompassing autonomous driving, expert diagnosis, unmanned supermarkets, etc. It continues to be challenging for researchers and engineers to develop a high-performance neuromorphic processor for deployment in edge devices or embedded hardware. DNNs’ superpower derives from their enormous and complex network architecture, which is computation-intensive, time-consuming, and energy-heavy. Due to the limited perceptual capacity of humans, accurate processing results from DNNs require a substantial amount of computing time, making them redundant in some applications. Utilizing adaptive quantization technology to compress the DNN model with sufficient accuracy is crucial for facilitating the deployment of neuromorphic processors in emerging edge applications. 2023-04-25T03:49:26Z 2023-04-25T03:49:26Z 2023 Book https://link.springer.com/article/10.1007/s00521-023-08280-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/8271 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
DNNs DNNs’ superpower |
| spellingShingle |
DNNs DNNs’ superpower Tao, Li Yitao, Ma Tetsuo, Endoh Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3 |
| description |
CC BY |
| format |
Book |
| author |
Tao, Li Yitao, Ma Tetsuo, Endoh |
| author_facet |
Tao, Li Yitao, Ma Tetsuo, Endoh |
| author_sort |
Tao, Li |
| title |
Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3 |
| title_short |
Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3 |
| title_full |
Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3 |
| title_fullStr |
Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3 |
| title_full_unstemmed |
Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3 |
| title_sort |
neuromorphic processor-oriented hybrid q-format multiplication with adaptive quantization for tiny yolo3 |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s00521-023-08280-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/8271 |
| _version_ |
1764177436744876032 |
| score |
8.891145 |