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Johannes Ballécopybara-github
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Adds a link to the model compression tutorial.
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README.md

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@@ -6,8 +6,10 @@ You can use this library to build your own ML models with end-to-end optimized
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data compression built in. It's useful to find storage-efficient representations
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of your data (images, features, examples, etc.) while only sacrificing a small
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fraction of model performance. Take a look at the [lossy data compression
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tutorial](https://www.tensorflow.org/tutorials/generative/data_compression) to
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get started.
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tutorial](https://www.tensorflow.org/tutorials/generative/data_compression) or
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the [model compression
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tutorial](https://www.tensorflow.org/tutorials/optimization/compression) to get
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started.
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For a more in-depth introduction from a classical data compression perspective,
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consider our [paper on nonlinear transform

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