Robust 2-bit Quantization of Weights in Neural Network Modeled by Laplacian Distribution
Significant efforts are constantly involved in finding manners to decrease the number of bits required for quantization of neural network parameters. Although in addition to compression, in neural networks, the application of quantizer models that are robust to changes in the variance of input dat...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Stefan cel Mare University of Suceava
2021-08-01
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Series: | Advances in Electrical and Computer Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.4316/AECE.2021.03001 |