Create a Custom Learning Block in Edge Impulse with ONNX

Want to use a novel ML architecture, or load your own transfer learning models into Edge Impulse? Create a custom learning block! This feature, which released during Imagine 2022, lets you bring any training pipeline into the Studio — whether written in PyTorch, Keras or scikit-learn — and then treat it like any of our built-in model types. So you can retrain with your own data, and deploy to every MCU or MPU under the sun with full hardware acceleration.

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