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Java Implementation of Optimal Brain Surgeon
ECE 539 Project Curtis Christie
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What Is OBS Optimal Brain Surgeon
Takes a relatively large trained neural network Calculates which weights can be removed with out introducing a lot of error Adjusts remaining weight to account for removal of a weight OBS can reduce number of weights by 70-90%
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My Project Java Implementation of OBS Inputs Outputs Input Vector
Trained Weights Partial Derivate’s of F(x,w) in terms of w Outputs New Weights
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How It Works Calculates the inverse Hessian matrix using recursion
Finds Saliency of each weight Increase in error that results when the weight is eliminated Finds lowest Saliency of all the weights, determines if weight should be removed Adjusts all weights for the removal of each a weight Repeats until no more weights can be removed
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Progress Accomplished Remaining Found Hessian Inverse
Found minimum Saliency Remaining Remove weight Adjust remaining weights Run test Networks
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