STM32 MCUs Machine learning & AI

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Edge AI for all. NanoEdge AI Studio autoML tool, now free for STM32 and open to all ARM Cortex-M bas

NanoEdge AI Studio v4.3 is now offered for free to all engineers, giving them the opportunity to create highly efficient TinyML libraries that can be deployed on Cortex-M based microcontrollers. In addition, other enhancements have been integrated to...

ST30449_nanoedge-ai-studio-motor (2).jpg ST30449_nanoedge-ai-studio-motor (2).jpg

Quantization-aware training

Hello,Is there a way to give X-CUBE-AI a model with quantized-weights? Right now the tool is able to do a custom post-training quantization for a given Keras model. However, what if we have a model that already has quantized weights (which is the cas...

AUzpa by Associate II
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Resolved! Tensorflow Lite support X-CUBE-AI 4.0.0

Hello,I have noticed that the latest version of X-CUBE-AI (4.0.0) has support for Tensorflow Lite. Therefore I tried to analyze a SSD Mobilenet v1 network that I found on this blog post:Link to blog postLink to .tflite modelWhen analyzing the .tflite...

AUzpa by Associate II
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