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Deep Learning Through Sparse and Low-Rank Modeling

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Deep Learning through Sparse and Low-Rank Modeling - Wang, Zhangyang, and Fu, Yun, and Huang, Thomas S.
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Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models-those that emphasize problem-specific Interpretability-with recent deep network models that have enabled a larger learning capacity and better utilization of Big Data. It shows how the toolkit of deep learning is closely tied with the sparse/low rank methods and algorithms, providing a rich variety of theoretical and analytic tools to guide the design and interpretation of deep learning models. The development of ...

Deep Learning through Sparse and Low-Rank Modeling 2019, Academic Press Inc, San Diego

ISBN-13: 9780128136591