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Optimal Brain Surgeon

Optimal Brain Surgeon. ECE 539 Final Project Mark Slosarek. Background. Optimal Brain Surgeon Algorithm (OBS) is a pruning algorithm Reduces weights to reduce overall complexity of network. Benefits. A pruned network has several benefits Quicker Calculations Less Storage Space required

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Optimal Brain Surgeon

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  1. Optimal Brain Surgeon ECE 539 Final Project Mark Slosarek

  2. Background • Optimal Brain Surgeon Algorithm (OBS) is a pruning algorithm • Reduces weights to reduce overall complexity of network

  3. Benefits • A pruned network has several benefits • Quicker Calculations • Less Storage Space required • A pruned network should not have significantly more error than an non-pruned network

  4. Steps to Perform OBS • Train the given MLP to minimize mean-square error • Calculate the cost of the equation • Compute the inverse Hessian • Find the smallest Saliency • If Saliency is much smaller than mean-square, delete that weight and repeat for next weight, other go to next step • Update all weights

  5. Tests Performed and Results • To test the effectiveness of the OSB, I used the wine data from the homework • The pruned network contained approximately 60% fewer weights • Results from both networks, however results of pruning were very inconclusive • The results were not very consistant

  6. Conclusion • A pruned network can save much space and time • My algorithm is not perfect, and could be recoded to be more efficient • Results not noticeable in simple networks, but in real world problems, could be results could be great

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