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Sparse neural network optimization by Simulated Annealing

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The over-parameterization of neural networks and the local optimality of backpropagation algorithm have been two major problems associated with deep-learning. In order to reduce the redundancy of neural network parameters. the conventional approach has been to prune branches with small weights. However. https://www.chiggate.com/devacurl-arc-angel-gel-maximum-hold-no-crunch-styler-32oz-for-cheap/
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