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tensorflow_model_optimization/g3doc/guide/pruning/index.md

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@@ -18,14 +18,12 @@ This technique brings improvements via model compression. In the future,
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framework support for this technique will provide latency improvements. We've
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seen up to 6x improvements in model compression with minimal loss of accuracy.
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The technique is used in production in various speech applications, such as
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The technique is being evaluated in various speech applications, such as
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speech recognition and text-to-speech, and has been experimented on across
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various vision and translation models.
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<!-- TODO: TF 1.14 ... TODO: roadmap ok? -->
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Users can apply this technique using APIs for Keras on Tensorflow 1.x for
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versions 1.14+ in both graph and eager execution.
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versions 1.14+ and nightly in both graph and eager execution.
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Note: The pruning API is only compatible with `tf.distribute` when using graph
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execution. It is on our roadmap to bring full support to TF 2.x and eager

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