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journal article EST
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journal article ENG
Evaluation of deep neural network compression methods for edge devices using weighted score-based ranking scheme
Ademola, Olutosin Ajibola
;
Leier, Mairo
;
Petlenkov, Eduard
Sensors
2021
/
art. 7529
https://doi.org/10.3390/s21227529
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journal article EST
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keyword
112
1.
deep neural network compression
2.
deep convolutional neural network
3.
deep neural network
4.
deep neural networks
5.
deep neural networks (DNNs)
6.
deep learning network
7.
artificial neural network
8.
Binarized Neural Network (BNN)
9.
cascaded forward neural network (CFNN)
10.
Convolutional Neural Network
11.
convolutional neural network (CNN)
12.
feedforward neural network (FFNN)
13.
Graph Convolutional Neural Network (GCN)
14.
GraphSAGE (Graph Based Neural Network)
15.
linear Delta robots neural network based model
16.
LSTM neural network
17.
neural network
18.
neural network architecture search
19.
neural network controller
20.
neural network modelling
21.
neural network models
22.
neural network positioning algorithms
23.
neural network predictive controller
24.
Radial Basis Function Neural Network (RBFNN)
25.
recurrent neural network language model
26.
Residual Neural Network
27.
spiking neural network (SNN)
28.
Ternary Neural Network
29.
transformer-based neural network
30.
deep donor-deep acceptor pairs
31.
an ensemble of compression methods
32.
axial compression
33.
Biaxial compression
34.
bunch compression
35.
compression
36.
compression ignition engine
37.
compression method evaluation
38.
compression ratio
39.
Compression wave
40.
data compression
41.
data compression and normalization
42.
lossless data compression
43.
model compression
44.
quasi-static compression
45.
Zstandard (Zstd) compression
46.
deep brain stimulation
47.
Deep defects
48.
deep energy levels
49.
deep energy renovation
50.
deep eutectic solvents
51.
deep fake
52.
deep fake recognition
53.
deep habits
54.
deep heat well
55.
deep inference
56.
deep layer
57.
deep learning
58.
deep learning (DL)
59.
deep learning classifier
60.
deep learning method
61.
deep learning methods
62.
deep learning model
63.
deep learning model quantization
64.
deep level
65.
deep level traps
66.
deep levels
67.
deep offshore
68.
deep packet inspection
69.
deep reinforcement learning
70.
Deep reinforcing learning SDN
71.
deep renovation
72.
deep understanding
73.
Deep-learning
74.
deep-learning (DL)
75.
deep-sea mining
76.
embedded deep learning
77.
natural deep eutectic solvents
78.
naturally available deep eutectic solvents
79.
nZEB deep energy renovation
80.
nZEB deep renovation
81.
artificial neural networks
82.
artificial neural networks (ANN)
83.
Biological neural networks
84.
Complex-valued neural networks
85.
constrained artificial neural networks
86.
Constrained neural networks
87.
convolutional neural networks
88.
convolutional neural networks (CNNa)
89.
Convolutional Neural Networks (CNNs)
90.
Fuzzy neural networks
91.
graph neural networks
92.
human neural progenitor cells
93.
multilayer neural networks
94.
neural activity
95.
neural additive model
96.
neural architecture search
97.
neural controller
98.
neural development
99.
neural fuzzy modelling control
100.
neural machine translation
101.
neural net
102.
neural net architecture
103.
neural networks
104.
neural oscillations
105.
neural processing unit
106.
neural stimulation
107.
neural-networks
108.
pre-trained neural networks
109.
recurrent neural networks
110.
recurrent neural networks (RNN)
111.
recurrent neural networks (RNNs)
112.
spiking neural networks
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