# Modeling Guides The following documents describe the various modeling features provided by the MLTK. For complete tutorials, please see the [Tutorials](../tutorials.md). | Name | Description | | --------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------- | | [Model Profiler](https://siliconlabs.github.io/mltk/docs/guides/model_profiler.html) | Provides information about how efficiently a model may run on an embedded target | | [Model Profiler Utility](https://siliconlabs.github.io/mltk/docs/guides/model_profiler_utility.html) | Standalone model profiler executable with webpage interface | | [Model Visualizer](https://siliconlabs.github.io/mltk/docs/guides/model_visualizer.html) | View an ML model in an interactive webpage | | [Model Specification](https://siliconlabs.github.io/mltk/docs/guides/model_specification.html) | Specify everything needed to create, train, and evaluate a machine learning model | | [Model Training](https://siliconlabs.github.io/mltk/docs/guides/model_training.html) | Train a machine learning model using the MLTK and Google Tensorflow | | [Model Training via SSH](https://siliconlabs.github.io/mltk/docs/guides/model_training_via_ssh.html) | Train a machine learning model on a cloud server via SSH | | [Model Training Monitor with Tensorboard](https://siliconlabs.github.io/mltk/docs/guides/model_training_monitor.html) | Monitor/profile the training of a model using [Tensorboard](https://www.tensorflow.org/tensorboard/get_started) | | [Model Evaluation](https://siliconlabs.github.io/mltk/docs/guides/model_evaluation.html) | Evaluate the accuracy of a trained model | | [Model Quantization](https://siliconlabs.github.io/mltk/docs/guides/model_quantization.html) | Reduce memory usage by compressing model weights | | [Model Parameters](https://siliconlabs.github.io/mltk/docs/guides/model_parameters.html) | Embed custom parameters into the generated model file | | [Model Summary](https://siliconlabs.github.io/mltk/docs/guides/model_summary.html) | Generate a text summary of a model | | [Model Archive](https://siliconlabs.github.io/mltk/docs/guides/model_archive.html) | Store model information in a distributable archive | | [Model Search Path](https://siliconlabs.github.io/mltk/docs/guides/model_search_path.html) | Configure how models are found by the MLTK commands and APIs | ```{toctree} :maxdepth: 1 :hidden: ./model_profiler ./model_profiler_utility ./model_visualizer ./model_specification ./model_training ./model_training_via_ssh ./model_training_monitor ./model_evaluation ./model_quantization ./model_parameters ./model_summary ./model_archive ./model_search_path ```