Shrinking massive neural networks used to model language

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Shrinking massive neural networks used to model language

Shrinking massive neural networks used to model language

Deep learning neural networks can be massive, demanding major computing power. In a test of the “lottery ticket hypothesis,” MIT researchers have found leaner, more efficient subnetworks hidden within BERT models. The discovery could make natural language processing more accessible.

Source: news.mit.edu/2020/neural-model-language-1201

December 10, 2020
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