Build and run an image classification NN model on an STM32L4 Discovery board
Introduction
Prepare environment
Build an image classification NN model trained with the CIFAR-10 dataset
Deploy the image classification NN model on STM32
Run the image classification NN model on STM32
Review
Next Steps

  Log an issue

  Fork and edit

  Discuss on Discord

What you've learned

You should now know how to:

  • Build a convolution neural network(CNN) model for image classification.
  • Run the CNN model on an STM32 B-L475E-IOT01A2 board using STM Cube AI

Knowledge Check

Do the number of color channels in your dataset impact the input shape of the convolution layer?

Does model training time vary based on number of epochs used?


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