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Highly Efficient 8-bit Low Precision Inference of Convoluti..:

, In: Proceedings of the 1st on Reproducible Quality-Efficient Systems Tournament on Co-designing Pareto-efficient Deep Learning,

Gong, Jiong ; Shen, Haihao ; Zhang, Guoming... - p. 1 ff. , 2018

Link: https://dl.acm.org/doi/10.1145/3229762.3229763

RT 
T1 <cTitle>Proceedings of the 1st on Reproducible Quality-Efficient Systems Tournament on Co-designing Pareto-efficient Deep Learning</cTitle>: T1 <Title>Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3229763&Exemplar=1&LAN=DE
				
A1 Gong, Jiong
A1 Shen, Haihao
A1 Zhang, Guoming
A1 Liu, Xiaoli
A1 Li, Shane
A1 Jin, Ge
A1 Maheshwari, Niharika
A1 Fomenko, Evarist
A1 Segal, Eden
PB ACM
YR 2018
K1 Convolutional Neural Network
K1 Deep Learning
K1 Intel Caffe
K1 Model Optimization
K1 General and reference
K1 Cross-computing tools and techniques
K1 Evaluation
K1 Experimentation
K1 Design
K1 Performance
K1 Computing methodologies
K1 Artificial intelligence
K1 Hardware
K1 Emerging technologies
K1 Analysis and design of emerging devices and systems
K1 Emerging architectures
K1 Emerging tools and methodologies
K1 Machine learning
K1 Machine learning algorithms
K1 Applied computing
K1 Education
K1 Collaborative learning
K1 Software and its engineering
K1 Software notations and tools
K1 Software libraries and repositories
K1 Metrics
K1 Measurement
K1 Computer vision
K1 Computer vision problems
K1 Object recognition
SP 1 ff.
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3229762.3229763
DO https://dl.acm.org/doi/10.1145/3229762.3229763
SF ELIB - SuUB Bremen

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