Demo Abstract: Deep Learning on an Elastic Node for the Internet of Things

Alwyn Burger, Gregor Schiele
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引用次数: 13

Abstract

This paper details a demonstration of the Elastic Node hardware platform. This platform offers a balance between energy efficiency and local processing power by combining a minimal 8-bit MCU with a Field Programmable Gate Array (FPGA). It can deploy different hardware functions at runtime to delegate calculations. Its capabilities for local deep learning are highlighted through querying and training an Artificial Neuron Network (ANN) with multiple hidden layers. Fine- grained current measurements and ANN latency can be graphed in real time on a connected computer.
摘要:物联网弹性节点上的深度学习
本文详细介绍了Elastic Node硬件平台的演示。该平台通过将最小的8位MCU与现场可编程门阵列(FPGA)相结合,提供了能源效率和本地处理能力之间的平衡。它可以在运行时部署不同的硬件功能来委托计算。通过查询和训练具有多个隐藏层的人工神经元网络(ANN),突出了其局部深度学习的能力。细粒度电流测量和人工神经网络延迟可以在连接的计算机上实时绘制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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