> ## Documentation Index
> Fetch the complete documentation index at: https://docs.edgeimpulse.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Weights & Biases

[Weights & Biases](https://wandb.ai/) makes it easy to track your experiments, manage & version your data, and collaborate with your team so you can focus on building the best models. Use W\&B's lightweight, interoperable tools to quickly track experiments, version and iterate on datasets, evaluate model performance, reproduce models, visualize results and spot regressions, and share findings with colleagues. Set up W\&B in 5 minutes, then quickly iterate on your machine learning pipeline with the confidence that your datasets and models are tracked and versioned in a reliable system of record.

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This tutorial describes how to integrate your Edge Impulse model with Weights & Biases and get started with tracking metrics within Weights & Biases.

## Getting started with Weights & Biases

Check out the [Weights & Biases documentation](https://docs.wandb.ai/) for information on getting started as a first-time user with the platform.

### Preliminary steps

* [Install Edge Impulse CLI](/tools/clis/edge-impulse-cli/installation)
* [Create a Weights & Biases account](https://wandb.ai/)
* [Create an Edge Impulse account](https://studio.edgeimpulse.com)

Now continue with the [tutorial provided by Weights & Biases](https://wandb.ai/edge-impulse-wandb/birdsong_classifier/reports/Weights-Biases-with-Edge-Impulse--VmlldzoyNjMzNjQ2).

## Next steps: building a machine learning model

With everything set up you can now build your first machine learning model with these tutorials:

* [Keyword spotting](/tutorials/end-to-end/keyword-spotting)
* [Sound recognition](/tutorials/end-to-end/sound-recognition)
* [Image classification](/tutorials/end-to-end/image-classification/)
* [Detect objects with bounding boxes](/tutorials/end-to-end/object-detection-bounding-boxes)
* [Detect objects with centroids (FOMO)](/tutorials/end-to-end/object-detection-centroids)

Looking to connect different sensors? The [Data forwarder](/tools/clis/edge-impulse-cli/data-forwarder) lets you easily send data from any sensor into Edge Impulse.

## Using Weights & Biases

Follow the Weights & Biases Training section of the [tutorial](https://wandb.ai/edge-impulse-wandb/birdsong_classifier/reports/Weights-Biases-with-Edge-Impulse--VmlldzoyNjMzNjQ2). This tutorial also includes information on the W\&B Edge Impulse custom block integration, training sweeps, validation metrics, and training metrics of your dataset.