DANTE: deep alternations for training neural networks

DOI10.1016/J.NEUNET.2020.07.026zbMath1475.68322arXiv1902.00491OpenAlexW2914691682WikidataQ98283223 ScholiaQ98283223MaRDI QIDQ2057720

Sneha Kudugunta, Surya Teja Chavali, Adepu Ravi Sankar, Vaibhav B. Sinha, Vineeth Nallure Balasubramanian

Publication date: 7 December 2021

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1902.00491

zbMATH Keywords

backpropagationmachine learningneural netsdeep learning

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07)

Related Items (1)

Artificial neural networks with uniform norm-based loss functions

Cites Work

• Iterative hard thresholding for compressed sensing
• Learning representations by back-propagating errors
• Low-rank matrix completion using alternating minimization

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