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Deep Learning Neural Networks: Design and Case Studies

Daniel Graupe




[PDF.ft93] Deep Learning Neural Networks: Design and Case Studies

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 | #701222 in Books |  2016-08-02 |  2016-07-07 | Original language:English |  9.75 x.64 x6.50l,.0 | File type: PDF | 280 pages

||4 of 4 people found the following review helpful.| A Great Graduate-Level Textbook, Not a Programming Guide.|By Rachel Baker|Excellent graduate-level/researcher’s textbook. However, it is not for those looking for a programming guide. The text covers the major
deep-learning neural networks, their background and applications. Analysis and derivation of the 3 major such networks including 100+
mathematical equat

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems based on a well-defined computational architecture. It has been successfully applied to a broad field of applications ranging from computer security, speech recognition, image and video recognition to industrial fault detection, medical diagnostics and finance. This comprehe...

You can specify the type of files you want, for your gadget.Deep Learning Neural Networks: Design and Case Studies   |  Daniel Graupe. Which are the reasons I like to read books. Great story by a great author.

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