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Winner takes all hashing for speeding up the training of neural networks in large class problems.

Pattern Recognition Letters, (2017): 38-47

Cited by: 6|Views27
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Abstract

•Use Winner Takes All Hashing (WTA) to speed up neural networks classification layer.•Study the number of units that require computation in a classification layer.•Study the performance of WTA in identifying units that require computation.•Demonstrate speed and accuracy trade-off during testing when using WTA hashing.•Show 6x speedup on t...More

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