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Data and information related to dropout

Dropout With a Difference: Reduce neural net overfitting without impacting accuracy

The technique known as dropout discourages neural networks from overfitting by deterring them from reliance on particular features. A new approach reorganizes the process to run efficiently on the chips that typically run neural network calculations.

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