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Approximating Activation Functions

Approximating Activation Functions

17 January 2020
Nicholas Gerard Timmons
Andrew Rice
ArXivPDFHTML

Papers citing "Approximating Activation Functions"

4 / 4 papers shown
Title
DietCNN: Multiplication-free Inference for Quantized CNNs
DietCNN: Multiplication-free Inference for Quantized CNNs
Swarnava Dey
P. Dasgupta
P. Chakrabarti
MQ
50
1
0
09 May 2023
Implementing Neural Network-Based Equalizers in a Coherent Optical
  Transmission System Using Field-Programmable Gate Arrays
Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays
Pedro J. Freire
S. Srivallapanondh
M. Anderson
B. Spinnler
T. Bex
...
W. Schairer
N. Costa
Michaela Blott
S. Turitsyn
Jaroslaw E. Prilepsky
29
10
0
09 Dec 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Brian Bartoldson
B. Kailkhura
Davis W. Blalock
31
47
0
13 Oct 2022
From the logistic-sigmoid to nlogistic-sigmoid: modelling the COVID-19
  pandemic growth
From the logistic-sigmoid to nlogistic-sigmoid: modelling the COVID-19 pandemic growth
Oluwasegun Ayokunle Somefun
K. Akingbade
F. Dahunsi
9
0
0
06 Aug 2020
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