Neural networks are often employed as tools in classification tasks. The use of large networks increases the likelihood of the task's being learned, although it may also lead to increased complexity. Pruning is an effec- tive way of reducing the complexity of large networks. We present dis- criminant components pruning (DCP), a method of pruning matrices of summed contributions between layers of a neural network.
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