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Quantization of Weights of Neural Networks with Negligible Decreasing of Prediction Accuracy
(Kaunas University of Technology, 2021-09-24)
Quantization and compression of neural network parameters using the uniform scalar quantization is carried out in this paper. The attractiveness of the uniform scalar quantizer is reflected in a low complexity and relatively ...
Binary Quantization Analysis of Neural Networks Weights on MNIST Dataset
(Kaunas University of Technology, 2021-08-23)
This paper considers the design of a binary scalar quantizer of Laplacian source and its application in compressed neural networks. The quantizer performance is investigated in a wide dynamic range of data variances, and ...