Math And Architectures Of Deep Learning

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$Math And Architectures Of Deep Learning$

Math And Architectures Of Deep Learning

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Math and Architectures of Deep Learning sets out the foundations of DL in a way that s both useful and accessible to working practitioners Each chapter explores a new fundamental DL concept or Deep Learning Architectures A Mathematical Approach Home Textbook Authors: Ovidiu Calin Contains a fair number of end-of chapter exercises Full solutions provided to all exercises Appendices including topics needed in the book exposition Part of the book series: Springer Series in the Data Sciences (SSDS) 168k Accesses 53 Citations 11 Altmetric

$math and architectures of deep learning soft share$

Math And Architectures Of Deep Learning Soft Share

Math And Architectures Of Deep LearningThe Modern Mathematics of Deep Learning Julius Berner, Philipp Grohs, Gitta Kutyniok, Philipp Petersen We describe the new field of mathematical analysis of deep learning. This field emerged around a list of research questions that were not answered within the classical framework of learning theory. Math and Architectures of Deep Learning by Krishnendu Chaudhury Author See all formats and editions Pre order Price Guarantee Terms