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ZENODO
Software . 2020
Data sources: Datacite
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ZENODO
Software . 2020
Data sources: ZENODO
Claim

A higher-level Neural Network library on Microcontrollers (NNoM)

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 30 Oct 2020 English Publisher:Zenodo
Authors: Jianjia Ma;
Code repository: https://github.com/majianjia/nnom/tree/v0.4.2

doi: 10.5281/zenodo.4158710

A higher-level Neural Network library on Microcontrollers (NNoM)

Abstract

NNoM is a high-level inference Neural Network library specifically for microcontrollers (low memory footprint devices). Highlights Deploy Keras model to NNoM model with one line of code. Support complex structures; Inception, ResNet, DenseNet, Octave Convolution... User-friendly interfaces. High-performance backend selections. Onboard (MCU) evaluation tools; Runtime analysis, Top-k, Confusion matrix...

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Keywords

Microcontroller, Artificial Intelligence, AIoT, Neural Network, EdgeAI

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
4
Top 10%
Average
Average
37
3
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