Example Models¶
The following models demonstrate the basic functionality of the MLTK and Tensorflow APIs.
The source code for these models may be found on Github: https://github.com/siliconlabs/mltk/tree/master/mltk/models/examples.
| Name | Description |
|---|---|
| Basic Example | A basic example of how to create a model specification |
| Basic TF Dataset Example | A basic example of how to create a model specification using the Tensorflow Dataset API |
| Image TF Dataset Example | An example of how to create an image classifier using the Tensorflow Dataset API |
| Audio TF Dataset Example | An example of how to create an audio keyword classifier using the Tensorflow Dataset API |
| Audio Example | An example of how to create an audio keyword classifier using the MLTK ParallelAudioDataGenerator |
| Image Example | An example of how to create an image classifier using the MLTK ParallelImageDataGenerator |
| Conv1D Example | An example of how to create a model architecture using Conv1D |
| Binary Classification Example | An example of how to create a model using binary classification |
| Auto Encoder Example | An example of how to create an auto-encoder model |
| Siamese Contrastive Example | An example of how to create a Siamese Contrastive model |