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Capacity Limits of Fully Binary CNN
Kamila Abdiyeva
, Timur Tibeyev
, Martin Lukac
School of Engineering and Digital Sciences
Nazarbayev University
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
6
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Citations (Scopus)
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Keyphrases
Convolutional Neural Network
100%
Capacity Constraints
100%
Binarization
100%
Binary Convolutional Neural Network
100%
Binary Model
66%
Processing Task
33%
Computational Resources
33%
Classification Task
33%
Embedded Systems
33%
Information Processing
33%
Art Performance
33%
Multiple Values
33%
Representational Power
33%
Wearable System
33%
Model Complexity
33%
Real-world Problems
33%
MNIST
33%
Convolutional Neural Network Model
33%
Memory Resource
33%
Model Capacity
33%
Binary Networks
33%
CIFAR-10
33%
Class Label
33%
Complex Dataset
33%
Computer Science
Convolutional Neural Network
100%
Capacity Limit
100%
binarization
60%
Processing Task
20%
Embedded Systems
20%
Information Processing
20%
Computational Resource
20%
Art Performance
20%
Classification Task
20%
Wearable Systems
20%
Neural Network Model
20%
Real-World Problem
20%
Memory Resource
20%
Binary Network
20%
Capacity Model
20%
INIS
capacity
100%
neural networks
100%
accuracy
40%
images
40%
power
40%
performance
20%
information
20%
processing
20%
classification
20%
resources
20%
precision
20%
exploration
20%
datasets
20%
Mathematics
Convolutional Neural Network
100%
Complex Model
20%
Network Model
20%
Thresholding
20%
World Problems
20%
Subproblem
20%
Class Label
20%
Neuroscience
Neural Network
100%
Information Processing
20%
Physics
Convolutional Neural Network
100%
Information Processing
20%
Chemical Engineering
Neural Network
100%