API ExamplesΒΆ
These examples demonstrate how to use the various MLTK Python APIs. They are provided as Jupyter Notebooks and can either run locally in VSCode or they can run in your web-browser using Google Colab.
See the Notebook Examples Guide for more details on how to run these examples. Also, refer to the documentation at the top of each example for specific details.
| Name | Description |
|---|---|
| Profile Model | Examples of using the profile_model() API |
| Train Model | Examples of using the train_model() API |
| Evaluate Model | Examples of using the evaluate_model() API |
| Summarize Model | Examples of using the summarize_model() API |
| View Model | Examples of using the view_model() API |
| Update Model Parameters | Examples of using the update_model_parameters() API |
| Quantize Model | Examples of using the quantize_model() API |
| MLTK Model | Examples of creating an MltkModel instance |
| TF-Lite Model | Examples of using a TfliteModel instance |
| TF-Lite Micro Model | Examples of using a TfliteMicroModel instance |
| UART Stream Example | Examples of using the UartStream library |
| Audio Feature Generator Example | Shows how to manually process an audio sample in the Audio Feature Generator and run inference using TF-Lite and TF-Lite Micro |