Two Novel Non-Uniform Quantizers with Application in Post-Training Quantization

Two Novel Non-Uniform Quantizers with Application in Post-Training Quantization

With increased network downsizing and cost minimization in deployment of neural network (NN) models, the utilization of edge computing takes a significant place in modern artificial intelligence today. To bridge the memory constraints of less-capable edge systems, a plethora of quantizer models and...

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Bibliographic Details
Main Authors: Zoran Perić, Danijela Aleksić, Jelena Nikolić, Stefan Tomić
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Mathematics
Subjects:
non-uniform quantization
support region
post-training quantization
quantized neural networks
Online Access:https://www.mdpi.com/2227-7390/10/19/3435

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https://www.mdpi.com/2227-7390/10/19/3435

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