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

After Configuring My Artificial Intelligence Network Using stm32cubeide for Nucleo-144 STM32H745 and then running build, "error: invalid initializer" is Received

Hello,I have created an Artificial intelligence project to be implemented on Nucleo-144 (stm32h745) board. The stm32cubeide created a set of related source and header files all grouped in the X-CUBE-AI folder.I defined variables in my main.c followin...

M.Saleh by Associate II
  • 191 Views
  • 1 replies
  • 1 kudos

Analyze is failing with keras(.h5) model and throwing INTERNAL ERROR: The layer has never been called and thus has no defined input shape.

I have a model file(.h5) and Analyze is failing with keras(.h5) model at STMCubeMX and throwing INTERNAL ERROR: The layer has never been called and thus has no defined input shape.Need help in understanding the issue and resolution for the same.My mo...

Umahe.1 by Associate II
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Analyze is failing and got error as NOT IMPLEMENTED: Transpose of batch not supported Got the above error while analyzing the tfltie model in STMCubeMX

I have an AI model that detects the human activity and saved the model in .h5 format and converted it into .tflite image. When I upload the image into STMCubeMX and analyze the model, analyze is failing and showing as NOT IMPLEMENTED: Transpose of ba...

Umahe.1 by Associate II
  • 195 Views
  • 4 replies
  • 0 kudos

Neural Network with Dynamic Input Size

We have created an LSTM model using Keras, and decreased its size to use it on our STM32F746G-Disco board. Our model can actually process dynamic size records. This means that, we do not need fix the size of the record. We could realize it on Google ...