Pruning Techniques
These techniques start training a sufficiently large network, and then they remove, in a stepwise procedure, the free parameters that have little influence on the cost function. There are two major methodological directions:
Methods Based on Parameter Sensitivity Calculations
Let us take for example the technique suggested in [Lecu 90]. Using a Taylor series expansion, the variation imposed on the cost function by parameter perturbations iswhereand i,j runs over all the weights. The derivatives can be computed via the back-propagation ...
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