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Learning Relaxation for Multigrid
We explore an approach for using NNs to learn relaxation parameters for an ensemble of diffusion operators with random coefficients, for Jacobi type smoothers and for 4Color GaussSeidel smoothers.
Data Augmentation for Leaf Segmentation and Counting Tasks in Rosette Plants
Deep learning techniques involving image processing and data analysis are constantly evolving.
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