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The development of a theoretical foundation for deep learning methods constitutes one of the most active and exciting research topics in applied mathematics. Written by leading experts in the field, this book acts as a mathematical introduction to deep learning for researchers and graduate students trying to get into the field.Publisher: Cambridge University PressIllustration(s): Worked examples or ExercisesNumber of pages: 492Publication date: 2022Dimensions: 177 x 250 x 29Cover type: HardbackEditor(s): Gitta (Ludwig-Maximilians-Universitat Munchen) Kutyniok
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Vânzător: Elefant.ro
Brand: Cambridge University Press