Silicon Lab’s Models

The following models are used by the various MLTK examples.

The source code for these models may be found on Github: https://github.com/siliconlabs/mltk/tree/master/mltk/models/siliconlabs.

Name Description
Keyword Spotting On/Off This model is designed to work with the Keyword Spotting On/Off tutorial
Keyword Spotting On/Off v2 This is the second version of the model designed to work with the Keyword Spotting On/Off tutorial
Keyword Spotting On/Off v3 This is the third version of the model designed to work with the Keyword Spotting On/Off tutorial
Keyword Spotting MobileNetv2 This model is designed to work with the Model Optimization tutorial
Keyword Spotting with Transfer Learning This model is designed to work with the Keyword Spotting with Transfer Learning tutorial
Keyword Spotting Pac-Man This model is designed to work with the Keyword Spotting Pac-Man tutorial
Keyword Spotting Pac-Man v2 This model is the second version of the model designed to work with the Keyword Spotting Pac-Man tutorial
Keyword Spotting Pac-Man v3 This model is the third version of the model designed to work with the Keyword Spotting Pac-Man tutorial
Keyword Spotting Alexa This model is designed to work with the Keyword Spotting Alexa tutorial
Keyword Spotting Numbers This is a CNN+LSTM keyword spotting model used to detect the keywords "zero" through "nine". It is designed to work with the Quantized LSTMs tutorial
Rock Paper Scissors This model is designed to work with the Image Classification tutorial
Fingerprint Signature Generator This model is designed to work with the Fingerprint Authentication tutorial