C language implementation of neural network prunin
2016-08-23
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"Neural network pruning algorithm" is a simplified neural network structure to one of the most effective ways to avoid overfitting the network. Wishes to entropy as a punishment added the right value in the objective function, multilayer feedforward neural network in automatic constraint value distribution in the process of learning and sensitivity as simplified standard weights, avoid relying solely on random weights size pruning. Because only during the pruning shears to low value and low sensitivity of connected rights, so network simplification does not need to be trained. Efficiency improved significantly.
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