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NEURAL NETWORKS WITH TRAINABLE MATRIX ACTIVATION FUNCTIONS
Zhengqi Liu
, Shuhao Cao
, Yuwen Li
,
Ludmil Zikatanov
Mathematics
Center for Computational Mathematics and Applications (CCMA)
Research output
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Contribution to journal
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Article
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peer-review
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Keyphrases
Neural Network
100%
Activation Function
100%
Trainable
100%
Matrix-valued
33%
Numerical Experiments
33%
Linear Transformation
33%
Training Process
33%
Matrix-vector multiplication
33%
Scalar multiplication
33%
Rectified Linear Unit (ReLU)
33%
Mathematics
Matrix (Mathematics)
100%
Neural Network
100%
Numerical Experiment
33%
Linear Transformation
33%
Matrix-Vector Multiplication
33%
Scalar Multiplication
33%
Training Process
33%
Computer Science
Neural Network
100%
Activation Function
100%
Linear Transformation
25%
Training Process
25%
Vector Multiplication
25%
Scalar Multiplication
25%
ReLU Function
25%
Chemical Engineering
Neural Network
100%
Engineering
Linear Unit
25%