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<!--HTML-->Starting from a brief historical perspective on scientific discovery, this talk will review some of the theory and open problems of deep learning and describe how to design efficient feedforward and recursive deep learning architectures for applications in the natural sciences. In...
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Lenguaje: | eng |
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2015
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Acceso en línea: | http://cds.cern.ch/record/2093597 |