TAC framework separates optimization of convolutional and fully connected layers in 1-bit DNNs to improve accuracy while maintaining efficiency.
5.1 Datasets and Implement Details In this section, we briefly introduce the datasets, network structures and experiment settings in our experiments
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A Targeted Acceleration and Compression Framework for Low bit Neural Networks
TAC framework separates optimization of convolutional and fully connected layers in 1-bit DNNs to improve accuracy while maintaining efficiency.