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Found 2 papers, 2 papers with code
Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant
Various approaches have been investigated to reduce the necessary resources, one of which is to leverage the sparsity occurring in deep neural networks due to the high levels of redundancy in the network parameters.
TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization
While most related publications validate the proposed approach on a single DNN topology, it appears to be evident, that the optimal choice of the quantization method and number of coding bits is topology dependent.
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