You are looking : cmsis-nn efficient neural network kernels for arm cortex-m cpus
1.CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs
- Author: arxiv.org
- Publish: 0 days ago
- Rating: 5(381 Rating)
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- Source : https://arxiv.org/abs/1801.06601
2.CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs
- Author: www.semanticscholar.org
- Publish: 8 days ago
- Rating: 3(340 Rating)
- Highest rating: 5
- Lowest rating: 2
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- Source : https://www.semanticscholar.org/paper/CMSIS-NN%253A-Efficient-Neural-Network-Kernels-for-Arm-Lai-Suda/ca24492a46856221086e77ffe29e8a69e1be0595
3.CMSIS-NN efficient neural network kernels for Arm Cortex-M CPUs
- Author: developer.arm.com
- Publish: 24 days ago
- Rating: 2(1739 Rating)
- Highest rating: 4
- Lowest rating: 2
- Descriptions: You are being redirected to a website external to Arm. Click on the CMSIS-NN: efficient neural network kernels for Arm Cortex-M CPUs if your browser does …
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- Source : https://developer.arm.com/Additional%2520Resources/CMSIS-NN%2520efficient%2520neural%2520network%2520kernels%2520for%2520Arm%2520Cortex-M%2520CPUs
4.CMSIS-NN: Efficient Neural Network Kernels for … – ResearchGate
- Author: www.researchgate.net
- Publish: 8 days ago
- Rating: 4(283 Rating)
- Highest rating: 3
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- Descriptions: CMSIS-NN is an efficient kernel API that enables deployment of DNNs with variable layer-wise precisions on ARM Cortex-M CPUs [52] . Uneven support across APIs …
- More : CMSIS-NN is an efficient kernel API that enables deployment of DNNs with variable layer-wise precisions on ARM Cortex-M CPUs [52] . Uneven support across APIs …
- Source : https://www.researchgate.net/publication/322652280_CMSIS-NN_Efficient_Neural_Network_Kernels_for_Arm_Cortex-M_CPUs
5.CMSIS NN Software Library – Keil
- Author: www.keil.com
- Publish: 10 days ago
- Rating: 5(553 Rating)
- Highest rating: 4
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- Descriptions: This user manual describes the CMSIS NN software library, a collection of efficient neural network kernels developed to maximize the performance and …
- More : This user manual describes the CMSIS NN software library, a collection of efficient neural network kernels developed to maximize the performance and …
- Source : https://www.keil.com/pack/doc/cmsis/NN/html/index.html
6.CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs.
- Author: dblp.org
- Publish: 24 days ago
- Rating: 2(915 Rating)
- Highest rating: 3
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- Source : https://dblp.org/rec/journals/corr/abs-1801-06601
7.[PDF] TFLu & CMSIS-NN: Efficient Neural Network kernels for Arm Cortex
- Author: cms.tinyml.org
- Publish: 15 days ago
- Rating: 5(596 Rating)
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- Source : https://cms.tinyml.org/wp-content/uploads/summit2020/Wei-tutorial-slides.pdf
8.CMSIS-NN: Efficient Neural Network kernels for Arm Cortex-M CPUs
- Author: slideplayer.com
- Publish: 21 days ago
- Rating: 4(390 Rating)
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- Source : https://slideplayer.com/slide/17731119/
9.توییتر arxiv در توییتر: «CMSIS-NN: Efficient Neural Network …
- Author: twitter.com
- Publish: 8 days ago
- Rating: 4(319 Rating)
- Highest rating: 4
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- Descriptions: CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs. http://arxiv.org/abs/1801.06601. تصویر. ۵:۵۸ قبلازظهر · ۲۳ ژانویهٔ ۲۰۱۸·arxiv_org.
- More : CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs. http://arxiv.org/abs/1801.06601. تصویر. ۵:۵۸ قبلازظهر · ۲۳ ژانویهٔ ۲۰۱۸·arxiv_org.
- Source : https://twitter.com/arxiv_org/status/955681229063401472%3Flang%3Dfa
10.[PDF] Machine Learning on Arm Cortex-M Microcontrollers – NET
- Author: armkeil.blob.core.windows.net
- Publish: 21 days ago
- Rating: 5(957 Rating)
- Highest rating: 4
- Lowest rating: 2
- Descriptions: CMSIS-NN is a collection of efficient neural network kernels developed to maximize the performance and minimize the memory footprint of neural networks on Arm …
- More : CMSIS-NN is a collection of efficient neural network kernels developed to maximize the performance and minimize the memory footprint of neural networks on Arm …
- Source : https://armkeil.blob.core.windows.net/developer/Files/pdf/Arm%2520ML%2520on%2520Cortex-M%2520Microcontrollers.pdf