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Deep learning for physical scientists : accelerating research with machine learning

By: Pyzer-Knapp, Edward O.
Contributor(s): Benatan, Matthew.
Publisher: Hoboken : John Wiley & Sons, 2021Description: xii,196 p. ; ill., 23 cm.ISBN: 9781119408338.Subject(s): Algorithm | Auto-encoder | Convolutional | Apprentissage automatique | Machine learning | Data processing | Physical sciences | Physical sciences | Algorithm | Auto-encoder | Apprentissage automatique | Machine learning | Data processingDDC classification: 500.20285 Summary: Deep Learning for Physical Scientists: Accelerating Research with Machine Learning delivers an insightful analysis of the transformative techniques being used in deep learning within the physical sciences. The book offers readers the ability to understand, select, and apply the best deep learning techniques for their individual research problem and interpret the outcome. Designed to teach researchers to think in useful new ways about how to achieve results in their research, the book provides scientists with new avenues to attack problems and avoid common pitfalls and problems.
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Books 500.20285 PYZ (Browse shelf) Available 034965

Includes index.

Deep Learning for Physical Scientists: Accelerating Research with Machine Learning delivers an insightful analysis of the transformative techniques being used in deep learning within the physical sciences. The book offers readers the ability to understand, select, and apply the best deep learning techniques for their individual research problem and interpret the outcome. Designed to teach researchers to think in useful new ways about how to achieve results in their research, the book provides scientists with new avenues to attack problems and avoid common pitfalls and problems.

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