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A ground-up construction of deep learning
<!--HTML-->I propose to give a ground up construction of deep learning as it is in it's modern state. Starting from it's beginnings in the 90's, I plan on showing the relevant (for physics) differences in optimization, construction, activation functions, initialization, and othe...
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Lenguaje: | eng |
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2015
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Acceso en línea: | http://cds.cern.ch/record/2093518 |