Machine Learning Developers Guide#

This Developer's Guide includes the following topics.

• Add Machine Learning to a New or Existing Project: Describes how to add the ML Model (ml_model) component to a project and run inference.

• Multiple-Model Support: Describes how to load and run several models in one Silicon Labs project (sequential or concurrent).

• Feature Generators: Describes how to add and configure feature generators, including the audio frontend for microphone spectrogram models.

• Update or Replace a .tflite File: Describes steps to update and replace a machine learning model in your project.

• Developing a Model: Explains the procedure to develop a machine learning model.

• AI/ML Extension Setup: In-depth explanantion of adding AI/ML extension to the setup.

• Flatbuffer Converter Tool: Shows how a flatbuffer is converted to bytes for including into header file.

• I2S Configuration for SiWx917: Provides details on configuring I2S for AI/ML audio apps on SiWx917.

• MVP Compiler: Describes about integration of the MVP Compiler in Simplicity Studio—components, pipeline stages, and troubleshooting.

• MVP Compiler Configuration: Explains how to customize MVP Compiler settings.

• Migrate from AI/ML SDK 2.2.2 to 3.0.0: Details how to upgrade existing projects to AI/ML 3.0.0.