Sparse Optimization Based on Non-convex $$\ell _{1/2}$$ Regularization for Deep Neural Networks

Anda Tang; Rongrong Ma; Jianyu Miao; Lingfeng Niu

doi:10.1007/978-981-15-2810-1_16

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Sparse Optimization Based on Non-convex $$\ell _{1/2}$$ Regularization for Deep Neural Networks

Anda Tang Rongrong Ma Jianyu Miao Lingfeng Niu

Year: 2020 Communications in computer and information science Pages: 158-166 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-15-2810-1_16

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Keywords:

Deep neural networks Regularization (linguistics) Computer science Artificial neural network Generalizability theory Minification Regular polygon Algorithm Mathematical optimization Artificial intelligence Convex optimization Mathematics

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Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Sparse Optimization Based on Non-convex $$\ell _{1/2}$$ Regularization for Deep Neural Networks

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