首页> 美国政府科技报告 >Convolutional Neural Network on Embedded Linux(trademark) System-on-Chip: A Methodology and Performance Benchmark.

【24h】

Convolutional Neural Network on Embedded Linux(trademark) System-on-Chip: A Methodology and Performance Benchmark.

机译：嵌入式Linux（商标）片上系统的卷积神经网络：方法论和性能基准。

获取原文

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Gebhardt, D.; Parikh, K.; Dzieciuch, I.;
展开▼
作者单位

展开▼
年度 2016
页码 1-18
总页数 18
原文格式 PDF
正文语种 eng
中图分类
关键词

相似文献

外文文献
中文文献
专利

1. VLSI design and implementation of High-performance Binary-weighted convolutional artificial neural networks for embedded vision based Internet of Things (IoT) [J] . Charles Rajesh Kumar J., Vinod Kumar D., Baskar D., Procedia Computer Science . 2019,第41期

机译：基于嵌入式视觉的物联网（IoT）的高性能二进制加权卷积人工神经网络的VLSI设计和实现
2. VLSI design and implementation of High-performance Binary-weighted convolutional artificial neural networks for embedded vision based Internet of Things (IoT) [J] . Charles Rajesh Kumar J., Vinod Kumar D., Baskar D., Procedia Computer Science . 2019,第1期

机译：基于嵌入式视觉的物联网（IoT）的高性能二进制加权卷积人工神经网络的VLSI设计和实现
3. Methodologies of Compressing a Stable Performance Convolutional Neural Networks in Image Classification [J] . Motaz Al-Hami, Marcin Pietron, Raul Casas, Neural processing letters . 2020,第1期

机译：图像分类中压缩性能稳定的卷积神经网络的方法
4. Performance Analysis of Convolutional Neural Networks on Embedded Systems [C] . Łukasz Grzymkowski, Tomasz P. Stefański International Conference on Mixed Design of Integrated Circuits and Systems . 2020

机译：卷积神经网络在嵌入式系统中的性能分析
5. On Convolutional Neural Networks for Knowledge Graph Embedding and Completion [D] . Shen, Chen. 2020

机译：关于卷积神经网络的知识图形嵌入和完成
6. Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network [O] . Seung Seog Han, Gyeong Hun Park, Woohyung Lim, -1

机译：深度神经网络在灰指甲诊断中显示出与皮肤科医生相当且通常优于皮肤病的性能：通过基于区域的卷积深度神经网络自动构建灰指甲数据集
7. Figure 2: Graphical abstract of DBAP layer embedded in classical convolutional neural network models for boosting discrimination performance and feature visualisation power. [O] . -1

机译：图2：嵌入在经典卷积神经网络模型中的DBAP层的图形摘要，用于提高辨别性能和特征可视化功率。

Convolutional Neural Network on Embedded Linux(trademark) System-on-Chip: A Methodology and Performance Benchmark.

著录项

引文网络

相似文献

相关主题

期刊订阅