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Showing 1 to 2 of 2 for “"Fine pruning"”.
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Fine Granularity is Critical for Intelligent Neural Network Pruning
Neural network pruning is a popular approach to reducing the computational costs of training and/or deploying a network, and aims to do so while minimizing accuracy loss. Pruning methods that remove individual weights (fine granularity) yield better ratios of accuracy to parameter count, while …
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Pruning Convolution Neural Network (SqueezeNet) for Efficient Hardware Deployment
… techniques like Architectural compression, Pruning, Quantization, and Encoding (e.g., Huffman encoding). Network pruning is one of the promising technique to solve these problems. This thesis proposes methods to prune the convolution neural network (SqueezeNet) without introducing network …