eIQ for Arm CMSIS-NN | NXP 半导体

eIQ for Arm CMSIS-NN

框图

eIQ for Arm® CMSIS-NN

eIQ for Arm<sup>®</sup> CMSIS-NN

特征

  • 可作为恩智浦MCUXpresso SDK (版本2.6.0)里的中间件
  • 支持i.MX RT应用处理器、LPC55S69 MCU和基于Arm Cortex-M的设备
  • 由ARM开发,为Arm® Cortex®-M4/M7内核提供神经网络支持
  • 比TF Lite更快更小,因为CMSIS-NN开发流程完全脱机,从而创建了一个二进制目标M级平台
  • 支持一组基本操作来实现通用模型层(例如卷积、完全连接、池化、激活
  • 转换脚本(来自ARM),以将Caffe模型转换为CMSIS-NN API调用

支持的器件

  • i.MX-RT1050: i.MX RT1050跨界MCU,配备Arm®Cortex®-M7内核
  • LPC55S6x: 高效的基于Arm® Cortex®-M33的微控制器产品系列
  • i.MX-RT1060: i.MX RT1060: 跨界MCU, 配备Arm®Cortex®-M7

下载

快速参考恩智浦 软件类型.

1 下载

  • 样品及快速入门软件

    MCUXpresso SDK Builder

注意: 推荐在电脑端下载软件,体验更佳。

Y true 0 SSPeIQArmCMSISNNzh 2 应用笔记 Application Note t789 1 简介 Fact Sheet t523 1 zh zh zh 应用笔记 Application Note 1 1 0 English AN12781SW.zip /docs/en/application-note-software/AN12781SW.zip /docs/en/application-note-software/AN12781SW.zip CMSIS-NN is a collection of optimized Neural Network (NN) functions for Arm Cortex-M core microcontrollers to enable neural networks and machine learning. 1587111140388729768715 SSP 1.4 MB None None documents None 1587111140388729768715 /docs/en/application-note/AN12781.pdf 1434732 /docs/en/application-note/AN12781.pdf AN12781 documents N N 2020-04-17 Caffe Model Development on MNIST Dataset with CMSIS-NN Library /docs/en/application-note/AN12781.pdf /docs/en/application-note/AN12781.pdf Application Note N 645036621402383989 2024-07-08 pdf N en Apr 17, 2020 645036621402383989 Application Note Y N Caffe Model Development on MNIST Dataset with CMSIS-NN Library 简介 Fact Sheet 1 2 4 Japanese Machine learning software for NXP i.MX and MCUs – libraries, example applications, inference engines, HALs 1562948465206707057398ja SSP 653.2 KB None None documents None 1562948465206707057398 /docs/ja/fact-sheet/EIQ-FS.pdf 653150 /docs/ja/fact-sheet/EIQ-FS.pdf EIQ-FS documents N N 2019-07-12 eIQ Software Fact Sheet /docs/ja/fact-sheet/EIQ-FS.pdf /docs/ja/fact-sheet/EIQ-FS.pdf Fact Sheet N 736675474163315314 2022-12-07 ja Jul 11, 2023 736675474163315314 Fact Sheet Y N eIQ 機械学習ソフトウェア開発環境 4 English Machine learning software for NXP i.MX and MCUs – libraries, example applications, inference engines, HALs 1562948465206707057398 SSP 653.2 KB None None documents None 1562948465206707057398 /docs/en/fact-sheet/EIQ-FS.pdf 653150 /docs/en/fact-sheet/EIQ-FS.pdf EIQ-FS documents N N 2019-07-12 eIQ Software Fact Sheet /docs/en/fact-sheet/EIQ-FS.pdf /docs/en/fact-sheet/EIQ-FS.pdf Fact Sheet N 736675474163315314 2022-12-07 pdf N en Jan 21, 2022 736675474163315314 Fact Sheet Y N eIQ Software Fact Sheet false 0 eIQArmCMSISNN downloads zh-Hans true 1 Y SSP Y Y 应用笔记 1 /docs/en/application-note/AN12781.pdf 2020-04-17 1587111140388729768715 SSP 1 Apr 17, 2020 Application Note CMSIS-NN is a collection of optimized Neural Network (NN) functions for Arm Cortex-M core microcontrollers to enable neural networks and machine learning. None /docs/en/application-note/AN12781.pdf English documents 1434732 None 645036621402383989 2024-07-08 N /docs/en/application-note/AN12781.pdf Caffe Model Development on MNIST Dataset with CMSIS-NN Library /docs/en/application-note/AN12781.pdf documents 645036621402383989 Application Note N en None Y pdf 0 N N Caffe Model Development on MNIST Dataset with CMSIS-NN Library 1.4 MB AN12781 N 1587111140388729768715 简介 1 /docs/en/fact-sheet/EIQ-FS.pdf 2019-07-12 1562948465206707057398 SSP 2 Jan 21, 2022 Fact Sheet Machine learning software for NXP i.MX and MCUs – libraries, example applications, inference engines, HALs None /docs/en/fact-sheet/EIQ-FS.pdf English documents 653150 None 736675474163315314 2022-12-07 N /docs/en/fact-sheet/EIQ-FS.pdf eIQ Software Fact Sheet /docs/en/fact-sheet/EIQ-FS.pdf documents 736675474163315314 Fact Sheet N en None Y pdf 4 N N eIQ Software Fact Sheet 653.2 KB EIQ-FS N 1562948465206707057398 true Y Softwares

文档

快速参考恩智浦 文档类别.

2 文件

紧凑列表

硬件

快速参考恩智浦 板类型.

3 硬件

相关软件

快速参考恩智浦 软件类型.

1 软件产品

To find a complete list of our partners that support this software, please see our 合作伙伴市场.

培训

2 培训

支持

您需要什么帮助?

近期查看的产品

There are no recently viewed products to display.

查看或编辑浏览历史