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I think it's important for us to distinguish between accessibility as "the design of products, devices, services, or environments for people who experience disabilities" and approachability -- meaning friendly materials suitable for beginner audiences. To be clear, accessibility is vital and a priority for this project, but I don't want to be misleading that we have implemented comprehensive accessibility.
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## Friendly machine learning for the web!
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ml5.js aims to make machine learning accessible to a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of [TensorFlow.js](https://js.tensorflow.org/) with no other external dependencies.
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ml5.js aims to make machine learning approachable to a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of [TensorFlow.js](https://js.tensorflow.org/) with no other external dependencies.
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The library is supported by code examples, tutorials, and sample data sets with an emphasis on ethical computing. Bias in data, stereotypical harms, and responsible crowdsourcing are part of the documentation around data collection and usage.
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