Getting started with X-CUBE-AI Expansion Package for Artificial Intelligence (AI)
This user manual provides the guidelines to build step-by-step a complete Artificial Intelligence (AI) IDE-based project for STM32 microcontrollers with automatic conversion of pre-trained Neural Networks (NN) and integration of the generatedoptimized library. It describes the X-CUBE-AI Expansion Package that is fully integrated with the STM32CubeMX tool. This user manual also describes optional add-on AI test applications or utilities for AI system performance and validation.
The main part of the document is a hands-on learning to generate quickly an STM32 AI-based project. A NUCLEO-F746ZG development kit and several models for Deep Learning (DL) from the public domain are used as practical examples. Any STM32 development kits or customer boards based on a microcontroller in the STM32F3, STM32F4, STM32G4, STM32L4, STM32L4+,STM32L5, STM32F7, STM32H7, STM32WB or STM32WL Series can also be used with minor adaptations.
The next part of the document details and describes the use of the X-CUBE-AI for AI performance and validation add-on applications. It covers also internal aspects such as the generated NN library. Additionally, more information (command-line support, supported toolboxes and layers, reported metrics) are available from the Documentation folder in the installed package.
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STM32 、 X-CUBE-AI 、 STM32CubeMX 、 NUCLEO-F746ZG 、 STM32F 、 STM32F3 、 STM32F4 、 STM32L5 、 STM32G4 、 STM32L4 、 STM32L4+ 、 STM32F7 、 STM32H7 、 STM32WB 、 STM32WL 、 STM32CubeIDE 、 STM32CubeProg 、 STM32CubeMonitor 、 STM32CubeMonPwr 、 STM32CubeMonRF 、 STM32CubeMonUCPD 、 STM32CubeF7 、 STM32F7 Series |
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User's Guide |
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Please see the document for details |
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English Chinese Chinese and English Japanese |
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4-Mar-2021 |
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Rev 7 |
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UM2526 |
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5.2 MB |
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