Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers

C Banbury, C Zhou, I Fedorov… - … of machine learning …, 2021 - proceedings.mlsys.org
Executing machine learning workloads locally on resource constrained microcontrollers
(MCUs) promises to drastically expand the application space of IoT. However, so-called …

MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers

C Banbury, C Zhou, I Fedorov, RM Navarro… - arXiv preprint arXiv …, 2020 - arxiv.org
Executing machine learning workloads locally on resource constrained microcontrollers
(MCUs) promises to drastically expand the application space of IoT. However, so-called …

[PDF][PDF] MICRONETS: NEURAL NETWORK ARCHITECTURES FOR DEPLOYING TINYML APPLICATIONS ON COMMODITY MICROCONTROLLERS

C Banbury, C Zhou, I Fedorov, RM Navarro, U Thakker… - researchgate.net
Executing machine learning workloads locally on resource constrained microcontrollers
(MCUs) promises to drastically expand the application space of IoT. However, so-called …

MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers

C Banbury, C Zhou, I Fedorov… - arXiv e …, 2020 - ui.adsabs.harvard.edu
Executing machine learning workloads locally on resource constrained microcontrollers
(MCUs) promises to drastically expand the application space of IoT. However, so-called …