eIQ Toolkit for MCU - Getting Started Labs

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eIQ Toolkit for MCU - Getting Started Labs

eIQ Toolkit for MCU - Getting Started Labs

eIQ Toolkit enables machine learning development with an intuitive GUI (named eIQ Portal) and development workflow tools, along with command line host tool options as part of the eIQ ML software development environment. Developers can create, optimize, debug and export ML models, as well as import datasets and models, rapidly train and deploy neural network models and ML workloads.

The eIQ Portal provides output TensorFlow Lite models that seamlessly feed into eIQ inference engines like TensorFlow Lite and TensorFlow Lite for Microcontrollers. Using a tool called Model Runner, eIQ Toolkit can also generate runtime insights to help optimize neural network architectures on i.MX RT and i.MX devices.

These labs go over how to use eIQ Portal. It is recommended to do them in the following order:

  • Data Import Lab
  • Model Runner Lab

 

The labs are written for using a FRDM-MCXN947 and i.MX RT1170-EVK, but other eIQ supported devices can be used as well. 

  • MCX N
  • i.MX RT1050
  • i.MX RT1060
  • i.MX RT1064
  • i.MX RT1160
  • i.MX RT1170
  • i.MX RT1180
  • i.MX RT500
  • i.MX RT600

For details on the Time Series Studio tool included in eIQ Toolkit please see the Time Series Studio lab guides.

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Last update:
‎11-04-2024 04:12 PM
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