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Automatic Learning Rate Adaption for Memristive Deep Learning Systems
Yang Zhang,
Linlin Shen
Research output
:
Journal Publication
›
Article
›
peer-review
2
Citations (Scopus)
Overview
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Dive into the research topics of 'Automatic Learning Rate Adaption for Memristive Deep Learning Systems'. Together they form a unique fingerprint.
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Engineering
Deep Learning
100%
Learning Systems
100%
Deep Neural Network
16%
Pattern Recognition
16%
Fuzzy Control
16%
Neural Network Architecture
16%
Backpropagation Algorithm
16%
Complementary Metal-Oxide-Semiconductor
16%
Image Recognition
16%
Adaptation Process
16%
Rate Adaptation
16%
Chemical Engineering
Learning System
100%
Deep Learning
100%
Deep Neural Network
16%
Neural Network
16%
Backpropagation
16%
Fuzzy Control
16%
Oxide Semiconductors
16%
Physics
Deep Learning
100%
Neural Network
33%
Memristor
33%
Metal Oxide Semiconductor
16%
Pattern Recognition
16%
Material Science
Complementary Metal-Oxide-Semiconductor Device
100%
Pattern Recognition
100%
Keyphrases
Adaptive Learning Rate
25%
Learning Rate Adaptation
12%
Adaptive Learning
12%
Device-to-device Variation
12%
Complementary Metal-oxide-semiconductor Technology
12%
Adaptation Process
12%
Adaptive Back-propagation
12%
Computer Science
Adaptive Learning Rate
33%
Adaptive Learning
16%
Rate Adaptation
16%
Complementary Metal Oxide Semiconductor
16%