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Performance Evaluation of Low-Precision Quantized LeNet and ConvNet Neural Networks
(IEEE, 2022)
Low-precision neural network models are crucial for
reducing the memory footprint and computational density. However, existing methods must have an average of 32-bit floatingpoint (FP32) arithmetic to maintain the accuracy. ...