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9 строки
473 B
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9 строки
473 B
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Overview of NNI Model Pruning
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Pruning is a common technique to compress neural network models.
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The pruning methods explore the redundancy in the model weights(parameters) and try to remove/prune the redundant and uncritical weights.
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The redundant elements are pruned from the model, their values are zeroed and we make sure they don't take part in the back-propagation process.
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The following concepts can help you understand pruning in NNI.
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