Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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c981fd12b1d5703f19bd8289da9fc996-Paper-Conference.pdf
Neural Information Processing Systems
Furthermore,analysis of model interpretation reveals the capability of MAtt in capturing informative EEGfeatures andhandling thenon-stationarity ofbraindynamics.
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Polyhedral Complex Derivation from Piecewise Trilinear Networks
Neural Information Processing Systems
Recent advancements in visualizing deep neural networks provide insights into their structures and mesh extraction from Continuous Piecewise Affine (CPW A) functions.
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