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
Next Steps
Build and run an image classification NN model on an STM32L4 Discovery board
Who is this for?
This is an advanced topic for embedded software developers interested in building neural network models for microcontrollers.
What will you learn?
Upon completion of this Learning Path, you will be able 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
Prerequisites
Before starting, you will need the following:
- Familiarity with ML concepts
- Familiarity with C programming on microcontrollers
- STM32 B-L475E-IOT01A2 board