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Showing 1 to 1 of 1 for “"L2 Normalization"”.

  1. Pruning Convolution Neural Network (SqueezeNet) for Efficient Hardware Deployment

    … in cost function Delta C. 2: Pruning based on L2 normalization of activation maps. 3: Pruning based on a combination of method 1 and method 2. The proposed methods use various ranking methods to rank the convolution kernels and prune the lower ranked filters afterwards SqueezeNet model is …

    iupui Repository record for Pruning Convolution Neural Network (SqueezeNet) for Efficient Hardware Deployment (opens in a new tab)